Başlangıç Kılavuzu: Ajans Temelli Çekme

Not

Azure Yapay Zeka Arama Azure portalı, REST API'leri ve Azure SDK’ları aracılığıyla kullanılabilir. Ayrıca kuruluş içeriğini Microsoft Foundry portalındaki aracılar için yeniden kullanılabilir, izin kullanan bilgi bankalarına dönüştüren yönetilen bilgi katmanı Foundry IQ'yu temel alır.

Not

Bazı aracısal alma özellikleri genel olarak 2026-04-01 REST API'sinde kullanılabilir. Ancak bu makalede, önizlemede kalan özellikler de dahil olmak üzere tüm özellik kümesini göstermek için 2026-05-01-preview kullanılır. Önizleme özellikleri hizmet düzeyi sözleşmesi olmadan sağlanır ve üretim iş yükleri için önerilmez. Daha fazla bilgi için bkz. Microsoft Azure Önizlemeleri için Uygun Kullanım Koşulları.

Bu hızlı başlangıçta, agentic retrieval kullanarak Azure Yapay Zeka Arama'te indekslenmiş belgeler ve Azure OpenAI'den büyük bir dil modeli (LLM) tarafından desteklenen Foundry Models aracılığıyla sohbet tabanlı bir arama deneyimi oluşturacaksınız.

Bilgi bankası karmaşık sorguları alt sorgulara bölerek, alt sorguları bir veya daha fazla bilgi kaynağında çalıştırarak ve meta verilerle sonuç döndürerek aracısal alma işlemini düzenler. Varsayılan olarak, bilgi bankası kaynaklarınızdan ham içerik çıkışı yapar, ancak bu hızlı başlangıçta doğal dil yanıt oluşturma için yanıt sentezi çıkış modu kullanılır.

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
.NET 8 veya üzeri.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Başlamadan önce içeriğe ve işlemlere erişim izinlerinizin olduğundan emin olun. Bu hızlı başlangıçta kimlik doğrulaması için Microsoft Entra ID ve yetkilendirme için rol tabanlı erişim kullanılır. Rolleri atamak için Sahip veya Kullanıcı Erişimi Yöneticisi olmanız gerekir. Roller uygun değilse bunun yerine anahtar tabanlı kimlik doğrulamayı kullanın.

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Her Azure Yapay Zeka Arama hizmeti ve Microsoft Foundry kaynağı, kaynağı tanımlayan ve ağ erişimi sağlayan benzersiz bir URL olan endpoint sahiptir. Sonraki bir bölümde, kaynaklarınıza program aracılığıyla bağlanmak için bu uç noktaları belirtirsiniz.

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-dotnet-samples

Hızlı başlangıç klasörüne gidin.

cd azure-search-dotnet-samples/quickstart-agentic-retrieval

içindesample.env, ve SEARCH_ENDPOINT için AOAI_ENDPOINT yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
olarak sample.envyeniden adlandırın.env.
```
mv sample.env .env
```
Bağımlılıkları yükleyin.
```
dotnet restore AgenticRetrievalQuickstart.csproj
```
Geri yükleme tamamlandığında çıkışta hata görünmediğinden emin olun.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Kodu çalıştırma

Dizin oluşturmak, belgeleri karşıya yüklemek, bilgi kaynağı ve bilgi bankası yapılandırmak ve aracısal alma sorguları çalıştırmak için uygulamayı çalıştırın.

dotnet run --project AgenticRetrievalQuickstart.csproj

Çıkış

Uygulamanın çıkışı aşağıdakine benzer olmalıdır:

Index 'earth-at-night' created or updated successfully.
Documents uploaded to index 'earth-at-night' successfully.
Knowledge source 'earth-knowledge-source' created or updated successfully.
Knowledge base 'earth-knowledge-base' created or updated successfully.
Running the query...Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?
Response:
Suburban belts brighten more (in relative terms) in December because holiday lighting is concentrated in yards and single-family suburbs where extra decorative lights add a large percentage increase over baseline residential lighting, whereas dense urban cores already have high absolute light levels so the same added holiday lights produce a smaller relative change [ref_id:6][ref_id:2]. The documents note suburbs and outskirts show the biggest holiday increases and central urban areas show smaller percent increases (20-30% in cores, larger in suburbs) linked to available yard space and prevalence of single-family homes [ref_id:6][ref_id:2]. Phoenix's street grid appears very sharp from space because the city's regular, closely spaced north-south/east-west street lighting and bright nodes at intersections and commercial strips produce a strong, high-contrast patterned signal (grid and major corridors like Grand Avenue), while long Midwestern interstates are comparatively dim because roadway lighting is more sparse and continuous between cities and navigable rivers/long highways lack the dense, closely spaced light sources that produce visible nodes and grid patterns at night [ref_id:3][ref_id:7]. In addition, the Black Marble processing accounts for atmospheric, lunar, snow/seasonal and stray-light effects and isolates artificial emissions, so concentrated urban lighting (as in Phoenix) stands out more in the corrected radiance product than dispersed or spaced sources like isolated stretches of interstate or sparsely lit rivers and plains [ref_id:1][ref_id:4][ref_id:7].
Activity:
Activity Type: KnowledgeBaseModelQueryPlanningActivityRecord
{
  "InputTokens": 1489,
  "OutputTokens": 326,
  "Id": 0,
  "ElapsedMs": 4558,
  "Error": null
}
Activity Type: KnowledgeBaseSearchIndexActivityRecord
{
  "SearchIndexArguments": {
    "Search": "December brightening suburban belts vs urban cores light pollution causes seasonal variation \"December brightening\" satellite night lights",
    "Filter": null,
    "SourceDataFields": [
      {
        "Name": "page_chunk"
      },
      {
        "Name": "id"
      },
      {
        "Name": "page_number"
      }
    ],
    "SearchFields": [],
    "SemanticConfigurationName": "semantic_config"
  },
  "KnowledgeSourceName": "earth-knowledge-source",
  "QueryTime": "2026-02-24T14:59:41.536+00:00",
  "Count": 21,
  "Id": 1,
  "ElapsedMs": 623,
  "Error": null
}
... // Trimmed for brevity
References:
Reference Type: KnowledgeBaseSearchIndexReference
{
  "DocKey": "earth_at_night_508_page_105_verbalized",
  "Id": "0",
  "ActivitySource": 2,
  "SourceData": {},
  "RerankerScore": 2.7294974
}
... // Trimmed for brevity
Continue the conversation with this query: How do I find lava at night?
Response:
... // Trimmed for brevity
Activity:
... // Trimmed for brevity
References:
... // Trimmed for brevity
Knowledge base 'earth-knowledge-base' deleted successfully.
Knowledge source 'earth-knowledge-source' deleted successfully.
Index 'earth-at-night' deleted successfully.

Kodu anlama

Not

Bu bölümdeki kod parçacıkları okunabilirlik için değiştirilmiş olabilir. Tam bir çalışma örneği için kaynak koduna bakın.

Artık kodu çalıştırdığınıza göre, temel adımları ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Mesajları ayarlama
Alma işlem hattını çalıştırma
Konuşmaya devam et

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth-at-nightbir dizini tanımlar.

Dizin şeması belge tanımlama ve sayfa içeriği, eklemeler ve sayılar için alanlar içerir. Şema ayrıca, metni vektörleştirmek ve semantik veya kavramsal benzerlik temelinde belgeleri eşleştirmek için dağıtımınızı text-embedding-3-large kullanan anlamsal derecelendirme ve vektör araması yapılandırmalarını da içerir.

// Define fields for the index
var fields = new List<SearchField>
{
    new SimpleField("id", SearchFieldDataType.String) { IsKey = true, IsFilterable = true, IsSortable = true, IsFacetable = true },
    new SearchField("page_chunk", SearchFieldDataType.String) { IsFilterable = false, IsSortable = false, IsFacetable = false },
    new SearchField("page_embedding_text_3_large", SearchFieldDataType.Collection(SearchFieldDataType.Single)) { VectorSearchDimensions = 3072, VectorSearchProfileName = "hnsw_text_3_large" },
    new SimpleField("page_number", SearchFieldDataType.Int32) { IsFilterable = true, IsSortable = true, IsFacetable = true }
};

// Define a vectorizer
var vectorizer = new AzureOpenAIVectorizer(vectorizerName: "azure_openai_text_3_large")
{
    Parameters = new AzureOpenAIVectorizerParameters
    {
        ResourceUri = new Uri(aoaiEndpoint),
        DeploymentName = aoaiEmbeddingDeployment,
        ModelName = aoaiEmbeddingModel
    }
};

// Define a vector search profile and algorithm
var vectorSearch = new VectorSearch()
{
    Profiles =
    {
        new VectorSearchProfile(
            name: "hnsw_text_3_large",
            algorithmConfigurationName: "alg"
        )
        {
            VectorizerName = "azure_openai_text_3_large"
        }
    },
    Algorithms =
    {
        new HnswAlgorithmConfiguration(name: "alg")
    },
    Vectorizers =
    {
        vectorizer
    }
};

// Define a semantic configuration
var semanticConfig = new SemanticConfiguration(
    name: "semantic_config",
    prioritizedFields: new SemanticPrioritizedFields
    {
        ContentFields = { new SemanticField("page_chunk") }
    }
);

var semanticSearch = new SemanticSearch()
{
    DefaultConfigurationName = "semantic_config",
    Configurations = { semanticConfig }
};

// Create the index
var index = new SearchIndex(indexName)
{
    Fields = fields,
    VectorSearch = vectorSearch,
    SemanticSearch = semanticSearch
};

// Create the index client, deleting and recreating the index if it exists
var indexClient = new SearchIndexClient(new Uri(searchEndpoint), credential);
await indexClient.CreateOrUpdateIndexAsync(index);
Console.WriteLine($"Index '{indexName}' created or updated successfully.");

Başvuru:SearchField, SimpleField, VectorSearch, SemanticSearch, SearchIndex, SearchIndexClient

Belgeleri dizine yükleme

earth-at-night Şu anda dizin boş. Aşağıdaki kod, dizini NASA's Earth at Night e-book JSON belgeleriyle doldurur. Azure Yapay Zeka Arama gerektirdiği gibi, her belge dizin şemasında tanımlanan alanlara ve veri türlerine uygundur.

// Upload sample documents from the GitHub URL
string url = "https://raw.githubusercontent.com/Azure-Samples/azure-search-sample-data/refs/heads/main/nasa-e-book/earth-at-night-json/documents.json";
var httpClient = new HttpClient();
var response = await httpClient.GetAsync(url);
response.EnsureSuccessStatusCode();
var json = await response.Content.ReadAsStringAsync();
var documents = JsonSerializer.Deserialize<List<Dictionary<string, object>>>(json);
var searchClient = new SearchClient(new Uri(searchEndpoint), indexName, credential);
var searchIndexingBufferedSender = new SearchIndexingBufferedSender<Dictionary<string, object>>(
    searchClient,
    new SearchIndexingBufferedSenderOptions<Dictionary<string, object>>
    {
        KeyFieldAccessor = doc => doc["id"].ToString(),
    }
);

await searchIndexingBufferedSender.UploadDocumentsAsync(documents);
await searchIndexingBufferedSender.FlushAsync();
Console.WriteLine($"Documents uploaded to index '{indexName}' successfully.");

Referans:SearchClient, SearchIndexingBufferedSender

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

SourceDataFields hangi dizin alanlarının alıntı başvurularına dahil olduğunu belirtir. Bu örnek, yanıtlarda uzun ve anlaşılmaz eklemelerden kaçınmak için yalnızca insan tarafından okunabilen alanları içerir.

// Create a knowledge source
var indexKnowledgeSource = new SearchIndexKnowledgeSource(
    name: knowledgeSourceName,
    searchIndexParameters: new SearchIndexKnowledgeSourceParameters(searchIndexName: indexName)
    {
        SourceDataFields = { new SearchIndexFieldReference(name: "id"), new SearchIndexFieldReference(name: "page_chunk"), new SearchIndexFieldReference(name: "page_number") }
    }
);

await indexClient.CreateOrUpdateKnowledgeSourceAsync(indexKnowledgeSource);
Console.WriteLine($"Knowledge source '{knowledgeSourceName}' created or updated successfully.");

Başvuru:SearchIndexKnowledgeSource

Bilgi bankası oluşturma

Sorgu zamanında earth-knowledge-source hedefine ve gpt-5-mini dağıtımınıza ulaşmak için bir bilgi tabanına ihtiyacınız vardır. Aşağıdaki kod adlı earth-knowledge-basebir bilgi bankası tanımlar.

OutputMode olarak ayarlanır AnswerSynthesis ve alınan belgeleri alıntılayan ve sağlanan AnswerInstructions izleyen doğal dil yanıtlarını etkinleştirir.

// Create a knowledge base
var openAiParameters = new AzureOpenAIVectorizerParameters
{
    ResourceUri = new Uri(aoaiEndpoint),
    DeploymentName = aoaiGptDeployment,
    ModelName = aoaiGptModel
};

var model = new KnowledgeBaseAzureOpenAIModel(azureOpenAIParameters: openAiParameters);

var knowledgeBase = new KnowledgeBase(
    name: knowledgeBaseName,
    knowledgeSources: new KnowledgeSourceReference[] { new KnowledgeSourceReference(knowledgeSourceName) }
)
{
    RetrievalReasoningEffort = new KnowledgeRetrievalLowReasoningEffort(),
    OutputMode = KnowledgeRetrievalOutputMode.AnswerSynthesis,
    AnswerInstructions = "Provide a two sentence concise and informative answer based on the retrieved documents.",
    Models = { model }
};

await indexClient.CreateOrUpdateKnowledgeBaseAsync(knowledgeBase);
Console.WriteLine($"Knowledge base '{knowledgeBaseName}' created or updated successfully.");

Başvuru:KnowledgeBaseAzureOpenAIModel, KnowledgeBase

İletileri ayarlama

İletiler, geri alma sürecinin girişidir ve konuşma geçmişini içerir. Her ileti, system veya user gibi kaynağını belirten bir rol ve doğal dilde içerik içerir. Hangi rollerin geçerli olduğunu kullandığınız LLM belirler.

Aşağıdaki kod, earth-knowledge-base için gece Dünya hakkında soruları yanıtlayan ve yanıt mevcut olmadığında "Bilmiyorum" diye yanıt vermesini sağlayan bir sistem iletisi oluşturur.

// Set up messages
string instructions = @"A Q&A agent that can answer questions about the Earth at night.
If you don't have the answer, respond with ""I don't know"".";

var messages = new List<Dictionary<string, string>>
{
    new Dictionary<string, string>
    {
        { "role", "system" },
        { "content", instructions }
    }
};

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

// Run agentic retrieval
var baseClient = new KnowledgeBaseRetrievalClient(
    endpoint: new Uri(searchEndpoint),
    knowledgeBaseName: knowledgeBaseName,
    tokenCredential: new DefaultAzureCredential()
);

messages.Add(new Dictionary<string, string>
{
    { "role", "user" },
    { "content", @"Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?" }
});

var retrievalRequest = new KnowledgeBaseRetrievalRequest();
foreach (Dictionary<string, string> message in messages) {
    if (message["role"] != "system") {
        retrievalRequest.Messages.Add(new KnowledgeBaseMessage(content: new[] { new KnowledgeBaseMessageTextContent(message["content"]) }) { Role = message["role"] });
    }
}
retrievalRequest.RetrievalReasoningEffort = new KnowledgeRetrievalLowReasoningEffort();
var retrievalResult = await baseClient.RetrieveAsync(retrievalRequest);

messages.Add(new Dictionary<string, string>
{
    { "role", "assistant" },
    { "content", (retrievalResult.Value.Response[0].Content[0] as KnowledgeBaseMessageTextContent)!.Text }
});

Reference:KnowledgeBaseRetrievalClient, KnowledgeBaseRetrievalRequest

Yanıtı, etkinliği ve referansları gözden geçirme

Geri alma hattındaki yanıt, etkinlik ve referansları görüntüleyen aşağıdaki kod:

Response , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
Activity dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
References , yanıta katkıda bulunan ve her biri tarafından DocKeytanımlanan belgeleri listeler.

// Print the response, activity, and references
Console.WriteLine("Response:");
Console.WriteLine((retrievalResult.Value.Response[0].Content[0] as KnowledgeBaseMessageTextContent)!.Text);

Console.WriteLine("Activity:");
foreach (var activity in retrievalResult.Value.Activity)
{
    Console.WriteLine($"Activity Type: {activity.GetType().Name}");
    string activityJson = JsonSerializer.Serialize(
        activity,
        activity.GetType(),
        new JsonSerializerOptions { WriteIndented = true }
    );
    Console.WriteLine(activityJson);
}

Console.WriteLine("References:");
foreach (var reference in retrievalResult.Value.References)
{
    Console.WriteLine($"Reference Type: {reference.GetType().Name}");
    string referenceJson = JsonSerializer.Serialize(
        reference,
        reference.GetType(),
        new JsonSerializerOptions { WriteIndented = true }
    );
    Console.WriteLine(referenceJson);
}

Konuşmaya devam et

Aşağıdaki kod, earth-knowledge-base ile konuşmaya devam eder. Bu kullanıcı sorgusunu gönderdikten sonra, bilgi bankası ilgili içeriği getirir earth-knowledge-source ve yanıtı ileti listesine ekler.

// Continue the conversation
messages.Add(new Dictionary<string, string>
{
    { "role", "user" },
    { "content", "How do I find lava at night?" }
});

retrievalRequest = new KnowledgeBaseRetrievalRequest();
foreach (Dictionary<string, string> message in messages) {
    if (message["role"] != "system") {
        retrievalRequest.Messages.Add(new KnowledgeBaseMessage(content: new[] { new KnowledgeBaseMessageTextContent(message["content"]) }) { Role = message["role"] });
    }
}
retrievalRequest.RetrievalReasoningEffort = new KnowledgeRetrievalLowReasoningEffort();
retrievalResult = await baseClient.RetrieveAsync(retrievalRequest);

messages.Add(new Dictionary<string, string>
{
    { "role", "assistant" },
    { "content", (retrievalResult.Value.Response[0].Content[0] as KnowledgeBaseMessageTextContent)!.Text }
});

Yeni yanıtı, etkinliği ve başvuruları gözden geçirin

Bilgi alma işlem hattındaki yeni yanıtı, etkinliği ve atıfları görüntüleyen aşağıdaki kod.

// Print the new response, activity, and references
Console.WriteLine("Response:");
Console.WriteLine((retrievalResult.Value.Response[0].Content[0] as KnowledgeBaseMessageTextContent)!.Text);

Console.WriteLine("Activity:");
foreach (var activity in retrievalResult.Value.Activity)
{
    Console.WriteLine($"Activity Type: {activity.GetType().Name}");
    string activityJson = JsonSerializer.Serialize(
        activity,
        activity.GetType(),
        new JsonSerializerOptions { WriteIndented = true }
    );
    Console.WriteLine(activityJson);
}

Console.WriteLine("References:");
foreach (var reference in retrievalResult.Value.References)
{
    Console.WriteLine($"Reference Type: {reference.GetType().Name}");
    string referenceJson = JsonSerializer.Serialize(
        reference,
        reference.GetType(),
        new JsonSerializerOptions { WriteIndented = true }
    );
    Console.WriteLine(referenceJson);
}

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Kaynakları bulmak ve yönetmek için Azure portalında Tüm kaynaklar veya Kaynak grupları seçin. Kaynakları tek tek silebilir veya tüm kaynakları aynı anda kaldırmak için kaynak grubunu silebilirsiniz.

Aksi takdirde, dosyasından aşağıdaki kod program.cs bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

Bilgi bankasını silme

await indexClient.DeleteKnowledgeBaseAsync(knowledgeBaseName);
Console.WriteLine($"Knowledge base '{knowledgeBaseName}' deleted successfully.");

Bilgi kaynağını silme

await indexClient.DeleteKnowledgeSourceAsync(knowledgeSourceName);
Console.WriteLine($"Knowledge source '{knowledgeSourceName}' deleted successfully.");

Arama dizinini silme

await indexClient.DeleteIndexAsync(indexName);
Console.WriteLine($"Index '{indexName}' deleted successfully.");

Not

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
Java 11 veya üzeri ve Maven.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Azure Yapay Zeka Arama'te nesne oluşturma ve kullanma izni. Rol tabanlı erişim öneririz, ancak rol ataması uygun değilse API anahtarlarını kullanabilirsiniz. Daha fazla bilgi için bkz. Arama hizmetine bağlanma.
Arama Hizmeti REST API'lerinin 2026-05-01-preview sürümü.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-java-samples

Hızlı başlangıç klasörüne gidin.

cd azure-search-java-samples/quickstart-agentic-retrieval

içindesample.env, ve SEARCH_ENDPOINT için AOAI_ENDPOINT yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
olarak sample.envyeniden adlandırın.env.
```
mv sample.env .env
```
Bağımlılıkları yükleyin.
```
mvn clean dependency:copy-dependencies
```
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Kodu çalıştırma

Bir dizin oluşturmak, belgeleri yüklemek, bir bilgi kaynağı ve bilgi bankası yapılandırmak, ve ajan tabanlı alma sorguları çalıştırmak için uygulamayı derleyin ve çalıştırın.

javac AgenticRetrievalQuickstart.java -cp ".;target\dependency\*"
java -cp ".;target\dependency\*" AgenticRetrievalQuickstart

javac AgenticRetrievalQuickstart.java -cp ".:target/dependency/*"
java -cp ".:target/dependency/*" AgenticRetrievalQuickstart

javac AgenticRetrievalQuickstart.java -cp ".:target/dependency/*"
java -cp ".:target/dependency/*" AgenticRetrievalQuickstart

Çıkış

Uygulamanın çıkışı aşağıdakine benzer olmalıdır:

Index 'earth-at-night' created or updated successfully.
Documents uploaded to index 'earth-at-night' successfully.
Knowledge source 'earth-knowledge-source' created or updated successfully.
Knowledge base 'earth-knowledge-base' created or updated successfully.
Running the query...Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?
Response:
December percent brightening is larger in suburban belts because many houses add seasonal residential/holiday lighting on yards and roofs, so a relatively dark suburban baseline can increase by 20-50% when those lights turn on, while dense urban cores already have high continuous lighting so the same added lights make a smaller percentage change [ref_id:2][ref_id:5][ref_id:8]. Phoenix's street grid appears sharply from space because the metropolitan layout is a regular, continuous north-south/east-west street and block grid with a major diagonal artery (Grand Avenue) and concentrated, continuous arterial and commercial lighting along intersections and corridors [ref_id:3][ref_id:0][ref_id:1]. ...
Activity:
Activity Type: KnowledgeBaseModelQueryPlanningActivityRecord
{
  "id" : 0,
  "elapsedMs" : 5229,
  "type" : "modelQueryPlanning",
  "inputTokens" : 1489,
  "outputTokens" : 383
}
Activity Type: KnowledgeBaseSearchIndexActivityRecord
{
  "id" : 1,
  "elapsedMs" : 2670,
  "knowledgeSourceName" : "earth-knowledge-source",
  "queryTime" : "2026-02-24T15:28:36.776Z",
  "count" : 3,
  "type" : "searchIndex",
  "searchIndexArguments" : {
    "search" : "December brightening suburban belts vs urban cores light pollution causes seasonal variation reasons \"December brightening\"",
    "sourceDataFields" : [ {
      "name" : "page_chunk"
    }, {
      "name" : "id"
    }, {
      "name" : "page_number"
    } ],
    "searchFields" : [ ],
    "semanticConfigurationName" : "semantic_config"
  }
}
... // Trimmed for brevity
References:
Reference Type: KnowledgeBaseSearchIndexReference
{
  "id" : "0",
  "activitySource" : 2,
  "rerankerScore" : 2.7486389,
  "type" : "searchIndex",
  "docKey" : "earth_at_night_508_page_105_verbalized"
}
... // Trimmed for brevity
Continue the conversation with this query: How do I find lava at night?
Response:
... // Trimmed for brevity
Activity:
... // Trimmed for brevity
References:
... // Trimmed for brevity
Knowledge base 'earth-knowledge-base' deleted successfully.
Knowledge source 'earth-knowledge-source' deleted successfully.
Index 'earth-at-night' deleted successfully.

Kodu anlama

Not

Bu bölümdeki kod parçacıkları okunabilirlik için değiştirilmiş olabilir. Tam bir çalışma örneği için kaynak koduna bakın.

Artık kodu çalıştırdığınıza göre, temel adımları ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Mesajları ayarlama
Alma işlem hattını çalıştırma
Konuşmaya devam et

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth-at-nightbir dizini tanımlar.

List<SearchField> fields = Arrays.asList(
    new SearchField("id", SearchFieldDataType.STRING)
        .setKey(true)
        .setFilterable(true)
        .setSortable(true)
        .setFacetable(true),
    new SearchField("page_chunk", SearchFieldDataType.STRING)
        .setFilterable(false)
        .setSortable(false)
        .setFacetable(false),
    new SearchField("page_embedding_text_3_large",
            SearchFieldDataType.collection(
                SearchFieldDataType.SINGLE))
        .setVectorSearchDimensions(3072)
        .setVectorSearchProfileName("hnsw_text_3_large"),
    new SearchField("page_number", SearchFieldDataType.INT32)
        .setFilterable(true)
        .setSortable(true)
        .setFacetable(true)
);

AzureOpenAIVectorizer vectorizer = new AzureOpenAIVectorizer(
        "azure_openai_text_3_large")
    .setParameters(new AzureOpenAIVectorizerParameters()
        .setResourceUrl(aoaiEndpoint)
        .setDeploymentName(aoaiEmbeddingDeployment)
        .setModelName(
            AzureOpenAIModelName.fromString(
                aoaiEmbeddingModel)));

VectorSearch vectorSearch = new VectorSearch()
    .setProfiles(Arrays.asList(
        new VectorSearchProfile("hnsw_text_3_large", "alg")
            .setVectorizerName("azure_openai_text_3_large")
    ))
    .setAlgorithms(Arrays.asList(
        new HnswAlgorithmConfiguration("alg")
    ))
    .setVectorizers(Arrays.asList(vectorizer));

SemanticSearch semanticSearch = new SemanticSearch()
    .setDefaultConfigurationName("semantic_config")
    .setConfigurations(Arrays.asList(
        new SemanticConfiguration("semantic_config",
            new SemanticPrioritizedFields()
                .setContentFields(Arrays.asList(
                    new SemanticField("page_chunk")
                ))
        )
    ));

SearchIndex index = new SearchIndex(indexName)
    .setFields(fields)
    .setVectorSearch(vectorSearch)
    .setSemanticSearch(semanticSearch);

indexClient.createOrUpdateIndex(index);

Başvuru:SearchField, VectorSearch, SemanticSearch, SearchIndex, SearchIndexClient

Belgeleri dizine yükleme

String url = "https://raw.githubusercontent.com/Azure-Samples/"
    + "azure-search-sample-data/refs/heads/main/nasa-e-book/"
    + "earth-at-night-json/documents.json";

java.net.http.HttpClient httpClient =
    java.net.http.HttpClient.newHttpClient();
java.net.http.HttpRequest httpRequest =
    java.net.http.HttpRequest.newBuilder()
        .uri(URI.create(url))
        .build();

java.net.http.HttpResponse<String> response =
    httpClient.send(httpRequest,
        java.net.http.HttpResponse.BodyHandlers.ofString());

if (response.statusCode() != 200) {
    throw new IOException(
        "Failed to fetch documents: " + response.statusCode());
}

ObjectMapper mapper = new ObjectMapper();
JsonNode jsonArray = mapper.readTree(response.body());

List<SearchDocument> documents = new ArrayList<>();
for (int i = 0; i < jsonArray.size(); i++) {
    JsonNode doc = jsonArray.get(i);
    SearchDocument searchDoc = new SearchDocument();

    searchDoc.put("id", doc.has("id")
        ? doc.get("id").asText() : String.valueOf(i + 1));
    searchDoc.put("page_chunk", doc.has("page_chunk")
        ? doc.get("page_chunk").asText() : "");

    if (doc.has("page_embedding_text_3_large")
            && doc.get("page_embedding_text_3_large")
                .isArray()) {
        List<Double> embeddings = new ArrayList<>();
        for (JsonNode embedding
                : doc.get("page_embedding_text_3_large")) {
            embeddings.add(embedding.asDouble());
        }
        searchDoc.put(
            "page_embedding_text_3_large", embeddings);
    } else {
        List<Double> fallback = new ArrayList<>();
        for (int j = 0; j < 3072; j++) {
            fallback.add(0.1);
        }
        searchDoc.put(
            "page_embedding_text_3_large", fallback);
    }

    searchDoc.put("page_number",
        doc.has("page_number")
            ? doc.get("page_number").asInt() : i + 1);

    documents.add(searchDoc);
}

SearchClient searchClient = new SearchClientBuilder()
    .endpoint(searchEndpoint)
    .indexName(indexName)
    .credential(credential)
    .buildClient();

searchClient.uploadDocuments(documents);

Başvuru:SearchClient, SearchDocument

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

sourceDataFields hangi dizin alanlarının alıntı başvurularına dahil olduğunu belirtir. Bu örnek, yanıtlarda uzun ve anlaşılmaz eklemelerden kaçınmak için yalnızca insan tarafından okunabilen alanları içerir.

SearchIndexKnowledgeSource indexKnowledgeSource =
    new SearchIndexKnowledgeSource(
        knowledgeSourceName,
        new SearchIndexKnowledgeSourceParameters(indexName)
            .setSourceDataFields(Arrays.asList(
                new SearchIndexFieldReference("id"),
                new SearchIndexFieldReference("page_chunk"),
                new SearchIndexFieldReference("page_number")
            ))
    );

indexClient.createOrUpdateKnowledgeSource(indexKnowledgeSource);

Başvuru:SearchIndexKnowledgeSource

Bilgi bankası oluşturma

OutputMode Alınan belgeleri alıntılayan doğal dil yanıtlarını etkinleştirmek için olarak ayarlayın ANSWER_SYNTHESIS ve sağlanan AnswerInstructionsöğesini izleyin.

AzureOpenAIVectorizerParameters openAiParameters =
    new AzureOpenAIVectorizerParameters()
        .setResourceUrl(aoaiEndpoint)
        .setDeploymentName(aoaiGptDeployment)
        .setModelName(
            AzureOpenAIModelName.fromString(aoaiGptModel));

KnowledgeBaseAzureOpenAIModel model =
    new KnowledgeBaseAzureOpenAIModel(openAiParameters);

KnowledgeBase knowledgeBase = new KnowledgeBase(
        knowledgeBaseName,
        Arrays.asList(
            new KnowledgeSourceReference(knowledgeSourceName))
    )
    .setRetrievalReasoningEffort(
        new KnowledgeRetrievalLowReasoningEffort())
    .setOutputMode(
        KnowledgeRetrievalOutputMode.ANSWER_SYNTHESIS)
    .setAnswerInstructions(
        "Provide a two sentence concise and informative answer "
        + "based on the retrieved documents.")
    .setModels(Arrays.asList(model));

indexClient.createOrUpdateKnowledgeBase(knowledgeBase);

Başvuru:KnowledgeBaseAzureOpenAIModel, KnowledgeBase

İletileri ayarlama

Aşağıdaki kod, earth-knowledge-base için gece Dünya hakkında soruları yanıtlayan ve yanıt mevcut olmadığında "Bilmiyorum" diye yanıt vermesini sağlayan bir sistem iletisi oluşturur.

String instructions =
    "A Q&A agent that can answer questions about the "
    + "Earth at night.\n"
    + "If you don't have the answer, respond with "
    + "\"I don't know\".";

List<Map<String, String>> messages = new ArrayList<>();
Map<String, String> systemMessage = new HashMap<>();
systemMessage.put("role", "system");
systemMessage.put("content", instructions);
messages.add(systemMessage);

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

KnowledgeBaseRetrievalClient baseClient =
    new KnowledgeBaseRetrievalClientBuilder()
        .endpoint(searchEndpoint)
        .knowledgeBaseName(knowledgeBaseName)
        .credential(
            new DefaultAzureCredentialBuilder().build())
        .buildClient();

String query = "Why do suburban belts display larger "
    + "December brightening than urban cores even "
    + "though absolute light levels are higher "
    + "downtown? Why is the Phoenix nighttime street "
    + "grid is so sharply visible from space, whereas "
    + "large stretches of the interstate between "
    + "midwestern cities remain comparatively dim?";

messages.add(Map.of("role", "user", "content", query));

KnowledgeBaseRetrievalResult retrievalResult =
    retrieve(baseClient, messages, knowledgeSourceName);

String responseText =
    ((KnowledgeBaseMessageTextContent) retrievalResult
        .getResponse().get(0).getContent().get(0))
        .getText();

messages.add(
    Map.of("role", "assistant", "content", responseText));

Yardımcı retrieve konuşma geçmişinden bir KnowledgeBaseRetrievalOptions oluşturur, alma mantığı eforunu ayarlar, bilgi kaynağı parametrelerini ekler ve bir KnowledgeBaseRetrievalResultdöndürür:

private static KnowledgeBaseRetrievalResult retrieve(
        KnowledgeBaseRetrievalClient client,
        List<Map<String, String>> messages,
        String knowledgeSourceName) {
    List<KnowledgeBaseMessage> retrievalMessages = new ArrayList<>();
    for (Map<String, String> message : messages) {
        String role = message.get("role");
        if ("system".equals(role)) {
            continue;
        }
        retrievalMessages.add(
            new KnowledgeBaseMessage(
                new KnowledgeBaseMessageTextContent(
                    message.get("content")))
                .setRole(role));
    }

    KnowledgeBaseRetrievalOptions request =
        new KnowledgeBaseRetrievalOptions()
            .setMessages(retrievalMessages)
            .setRetrievalReasoningEffort(
                new KnowledgeRetrievalLowReasoningEffort())
            .setIncludeActivity(true)
            .setKnowledgeSourceParams(Arrays.asList(
                new SearchIndexKnowledgeSourceParams(knowledgeSourceName)
                    .setIncludeReferences(true)
                    .setIncludeReferenceSourceData(true)
            ));

    return client.retrieve(request);
}

Reference:KnowledgeBaseRetrievalClient, KnowledgeBaseRetrievalOptions

Yanıtı, etkinliği ve referansları gözden geçirme

Geri alma hattındaki yanıt, etkinlik ve referansları görüntüleyen aşağıdaki kod:

Response , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
Activity dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
References , yanıta katkıda bulunan ve her biri tarafından docKeytanımlanan belgeleri listeler.

System.out.println("Response:");
System.out.println(responseText);

System.out.println("Activity:");
for (KnowledgeBaseActivityRecord activity
        : retrievalResult.getActivity()) {
    System.out.println("Activity Type: "
        + activity.getClass().getSimpleName());
    System.out.println(toJsonString(activity));
}

System.out.println("References:");
for (KnowledgeBaseReference reference
        : retrievalResult.getReferences()) {
    System.out.println("Reference Type: "
        + reference.getClass().getSimpleName());
    System.out.println(toJsonString(reference));
}

Konuşmaya devam et

String nextQuery = "How do I find lava at night?";
messages.add(
    Map.of("role", "user", "content", nextQuery));

retrievalResult = retrieve(baseClient, messages, knowledgeSourceName);

Yeni yanıtı, etkinliği ve başvuruları gözden geçirin

Aşağıdaki kod, yeni yanıtı, etkinliği ve başvuruları görüntülemek için yanıt metnini ayıklar ve printResult işlevini çağırır.

responseText =
    ((KnowledgeBaseMessageTextContent) retrievalResult
        .getResponse().get(0).getContent().get(0))
        .getText();
messages.add(
    Map.of("role", "assistant", "content", responseText));

printResult(responseText, retrievalResult);

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Aksi takdirde, dosyasından aşağıdaki kod AgenticRetrievalQuickstart.java bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

Bilgi bankasını silme

indexClient.deleteKnowledgeBase(knowledgeBaseName);
System.out.println("Knowledge base '" + knowledgeBaseName
    + "' deleted successfully.");

Bilgi kaynağını silme

indexClient.deleteKnowledgeSource(knowledgeSourceName);
System.out.println("Knowledge source '" + knowledgeSourceName
    + "' deleted successfully.");

Arama dizinini silme

indexClient.deleteIndex(indexName);
System.out.println("Index '" + indexName
    + "' deleted successfully.");

Not

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
Node.js 20 LTS veya üzeri.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Azure Yapay Zeka Arama'te nesne oluşturma ve kullanma izni. Rol tabanlı erişim öneririz, ancak rol ataması uygun değilse API anahtarlarını kullanabilirsiniz. Daha fazla bilgi için bkz. Arama hizmetine bağlanma.
Arama Hizmeti REST API'lerinin 2026-05-01-preview sürümü.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-javascript-samples

Hızlı başlangıç klasörüne gidin.

cd azure-search-javascript-samples/quickstart-agentic-retrieval-js

içindesample.env, ve AZURE_SEARCH_ENDPOINT için AZURE_OPENAI_ENDPOINT yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
olarak sample.envyeniden adlandırın.env.
```
mv sample.env .env
```
Bağımlılıkları yükleyin.
```
npm install
```
Yükleme tamamlandığında proje dizininde bir node_modules klasör görürsünüz.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Kodu çalıştırma

Dizin oluşturmak, belgeleri karşıya yüklemek, bilgi kaynağı ve bilgi bankası yapılandırmak ve aracısal alma sorguları çalıştırmak için uygulamayı çalıştırın.

npm start

Çıkış

Uygulamanın çıkışı aşağıdakine benzer olmalıdır:

Waiting for indexing to complete...
Expected documents: 194
Current indexed count: 194
✓ All 194 documents indexed successfully!
✅ Knowledge source 'earth-knowledge-source' created successfully.
✅ Knowledge base 'earth-knowledge-base' created successfully.

📝 ANSWER:
────────────────────────────────────────────────────────────────────────────────
Suburban belts show larger December brightening (20–50% increases) because residential holiday lighting and seasonal decorations are concentrated there, so relative (fractional) increases over the baseline are bigger even though absolute downtown radiances remain higher; urban cores already emit strong baseline light while many suburbs add a large seasonal increment visible in VIIRS DNB observations [ref_id:0][ref_id:1]. The Phoenix street grid appears sharply from space because continuous, street‑oriented lighting with regular residential lot spacing and little vegetative masking produces strong, linear emissions, whereas long interstate stretches between Midwestern cities have sparser, access‑limited lighting, fewer adjacent developments and more shielded fixtures so they register comparatively dim on night‑light sensors like VIIRS/DNB [ref_id:0][ref_id:1].
────────────────────────────────────────────────────────────────────────────────

Activities:
Activity Type: modelQueryPlanning
{
  "id": 0,
  "type": "modelQueryPlanning",
  "elapsedMs": 5883,
  "inputTokens": 1489,
  "outputTokens": 326
}
Activity Type: searchIndex
{
  "id": 1,
  "type": "searchIndex",
  "elapsedMs": 527,
  "knowledgeSourceName": "earth-knowledge-source",
  "queryTime": "2025-12-19T15:38:23.462Z",
  "count": 1,
  "searchIndexArguments": {
    "search": "December brightening suburban belts vs urban cores light pollution causes December increase in night lights suburban vs urban",
    "filter": null,
    "sourceDataFields": [
      {
        "name": "page_chunk"
      },
      {
        "name": "id"
      },
      {
        "name": "page_number"
      }
    ],
    "searchFields": [],
    "semanticConfigurationName": "semantic_config"
  }
}
... // Trimmed for brevity
Activity Type: agenticReasoning
{
  "id": 4,
  "type": "agenticReasoning",
  "reasoningTokens": 70397,
  "retrievalReasoningEffort": {
    "kind": "low"
  }
}
Activity Type: modelAnswerSynthesis
{
  "id": 5,
  "type": "modelAnswerSynthesis",
  "elapsedMs": 4908,
  "inputTokens": 4013,
  "outputTokens": 187
}

References:
Reference Type: searchIndex
{
  "type": "searchIndex",
  "id": "0",
  "activitySource": 3,
  "sourceData": {
    "id": "earth_at_night_508_page_174_verbalized",
    "page_chunk": "<!-- PageHeader=\"Holiday Lights\" -->\n\n## Holiday Lights\n\n### Bursting with Holiday Energy-United States\n\nNASA researchers found that nighttime lights in the United States shine 20 to 50 percent brighter in December due to holiday light displays and other activities during Christmas and New Year's when compared to light output during the rest of the year.\n\nThe next five maps (see also pages 161-163), created using data from the VIIRS DNB on the Suomi NPP satellite, show changes in lighting intensity and location around many major cities, comparing the nighttime light signals from December 2012 and beyond.\n\n---\n\n#### Figure 1. Location Overview\n\nA map of the western hemisphere with a marker indicating the mid-Atlantic region of the eastern United States, where the study of holiday lighting intensity was focused.\n\n---\n\n#### Figure 2. Holiday Lighting Intensity: Mid-Atlantic United States (2012–2014)\n\nA map showing Maryland, New Jersey, Delaware, Virginia, West Virginia, Ohio, Kentucky, Tennessee, North Carolina, South Carolina, and surrounding areas. Major cities labeled include Washington, D.C., Richmond, Norfolk, and Raleigh.\n\nThe map uses colors to indicate changes in holiday nighttime lighting intensity between 2012 and 2014:\n\n- **Green/bright areas**: More holiday lighting (areas shining 20–50% brighter in December).\n- **Yellow areas**: No change in lighting.\n- **Dim/grey areas**: Less holiday lighting.\n\nKey observations from the map:\n\n- The Washington, D.C. metropolitan area shows significant increases in lighting during the holidays, extending into Maryland and Virginia.\n- Urban centers such as Richmond (Virginia), Norfolk (Virginia), Raleigh (North Carolina), and clusters in Tennessee and South Carolina also experience notable increases in light intensity during December.\n- Rural areas and the interiors of West Virginia, Kentucky, and North Carolina show little change or less holiday lighting, corresponding to population density and urbanization.\n\n**Legend:**\n\n| Holiday Lighting Change | Color on Map   |\n|------------------------|---------------|\n| More                   | Green/bright  |\n| No Change              | Yellow        |\n| Less                   | Dim/grey      |\n\n_The scale bar indicates a distance of 100 km for reference._\n\n---\n\n<!-- PageFooter=\"158 Earth at Night\" -->",
    "page_number": 174
  },
  "rerankerScore": 2.6692379,
  "docKey": "earth_at_night_508_page_174_verbalized"
}
... // Trimmed for brevity

❓ Follow-up question: How do I find lava at night?

📝 ANSWER:
────────────────────────────────────────────────────────────────────────────────
... // Trimmed for brevity
────────────────────────────────────────────────────────────────────────────────

Activities:
... // Trimmed for brevity

References:
... // Trimmed for brevity

✅ Quickstart completed successfully!

🗑️  Cleaned up resources.

Kodu anlama

Artık kodu edindiğinize göre, temel bileşenleri ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Alma işlem hattını çalıştırma
Yanıtı, etkinliği ve başvuruları gözden geçir
Konuşmaya devam et

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth_at_nightbir dizini tanımlar.

Dizin şeması belge tanımlama ve sayfa içeriği, eklemeler ve sayılar için alanlar içerir. Şema ayrıca, metni vektörleştirmek ve semantik benzerlik temelinde belgeleri eşleştirmek için dağıtımınızı text-embedding-3-large kullanan anlamsal derecelendirme ve vektör araması yapılandırmalarını da içerir.

const index = {
    name: 'earth_at_night',
    fields: [
        {
            name: "id",
            type: "Edm.String",
            key: true,
            filterable: true,
            sortable: true,
            facetable: true
        },
        {
            name: "page_chunk",
            type: "Edm.String",
            searchable: true,
            filterable: false,
            sortable: false,
            facetable: false
        },
        {
            name: "page_embedding_text_3_large",
            type: "Collection(Edm.Single)",
            searchable: true,
            filterable: false,
            sortable: false,
            facetable: false,
            vectorSearchDimensions: 3072,
            vectorSearchProfileName: "hnsw_text_3_large"
        },
        {
            name: "page_number",
            type: "Edm.Int32",
            filterable: true,
            sortable: true,
            facetable: true
        }
    ],
    vectorSearch: {
        profiles: [
            {
                name: "hnsw_text_3_large",
                algorithmConfigurationName: "alg",
                vectorizerName: "azure_openai_text_3_large"
            }
        ],
        algorithms: [
            {
                name: "alg",
                kind: "hnsw"
            }
        ],
        vectorizers: [
            {
                vectorizerName: "azure_openai_text_3_large",
                kind: "azureOpenAI",
                parameters: {
                    resourceUrl: process.env.AZURE_OPENAI_ENDPOINT,
                    deploymentId: process.env.AZURE_OPENAI_EMBEDDING_DEPLOYMENT,
                    modelName: process.env.AZURE_OPENAI_EMBEDDING_DEPLOYMENT
                }
            }
        ]
    },
    semanticSearch: {
        defaultConfigurationName: "semantic_config",
        configurations: [
            {
                name: "semantic_config",
                prioritizedFields: {
                    contentFields: [
                        { name: "page_chunk" }
                    ]
                }
            }
        ]
    }
};

const credential = new DefaultAzureCredential();

const searchIndexClient = new SearchIndexClient(process.env.AZURE_SEARCH_ENDPOINT, credential);
const searchClient = new SearchClient(process.env.AZURE_SEARCH_ENDPOINT, 'earth_at_night', credential);

await searchIndexClient.createOrUpdateIndex(index);

Başvuru:SearchField, VectorSearch, SemanticSearch, SearchIndex, SearchIndexClient, SearchClient, DefaultAzureCredential

Belgeleri dizine yükleme

const response = await fetch("https://raw.githubusercontent.com/Azure-Samples/azure-search-sample-data/refs/heads/main/nasa-e-book/earth-at-night-json/documents.json");

if (!response.ok) {
    throw new Error(`Failed to fetch documents: ${response.status} ${response.statusText}`);
}
const documents = await response.json();

const bufferedClient = new SearchIndexingBufferedSender(
    searchClient,
    documentKeyRetriever,
    {
        autoFlush: true,
    },
);

await bufferedClient.uploadDocuments(documents);
await bufferedClient.flush();
await bufferedClient.dispose();

console.log(`Waiting for indexing to complete...`);
console.log(`Expected documents: ${documents.length}`);
await delay(WAIT_TIME);

let count = await searchClient.getDocumentsCount();
console.log(`Current indexed count: ${count}`);

while (count !== documents.length) {
    await delay(WAIT_TIME);
    count = await searchClient.getDocumentsCount();
    console.log(`Current indexed count: ${count}`);
}

console.log(`✓ All ${documents.length} documents indexed successfully!`);

Referans:SearchIndexingBufferedSender

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

await searchIndexClient.createKnowledgeSource({
    name: 'earth-knowledge-source',
    description: "Knowledge source for Earth at Night e-book content",
    kind: "searchIndex",
    searchIndexParameters: {
        searchIndexName: 'earth_at_night',
        sourceDataFields: [
            { name: "id" },
            { name: "page_number" }
        ]
    }
});

console.log(`✅ Knowledge source 'earth-knowledge-source' created successfully.`);

Başvuru:SearchIndexKnowledgeSource

Bilgi bankası oluşturma

outputMode olarak ayarlanır answerSynthesis ve alınan belgeleri alıntılayan ve sağlanan answerInstructions izleyen doğal dil yanıtlarını etkinleştirir.

await searchIndexClient.createKnowledgeBase({
    name: 'earth-knowledge-base',
    knowledgeSources: [
        {
            name: 'earth-knowledge-source'
        }
    ],
    models: [
        {
            kind: "azureOpenAI",
            azureOpenAIParameters: {
                resourceUrl: process.env.AZURE_OPENAI_ENDPOINT,
                deploymentId: process.env.AZURE_OPENAI_GPT_DEPLOYMENT,
                modelName: process.env.AZURE_OPENAI_GPT_DEPLOYMENT
            }
        }
    ],
    outputMode: "answerSynthesis",
    answerInstructions: "Provide a two sentence concise and informative answer based on the retrieved documents."
});

console.log(`✅ Knowledge base 'earth-knowledge-base' created successfully.`);

Başvuru:KnowledgeBase

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

const knowledgeRetrievalClient = new KnowledgeRetrievalClient(
    process.env.AZURE_SEARCH_ENDPOINT,
    'earth-knowledge-base',
    credential
)

const query1 = `Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?`;

const retrievalRequest = {
    messages: [
        {
            role: "user",
            content: [
                {
                    type: "text",
                    text: query1
                }
            ]
        }
    ],
    knowledgeSourceParams: [
        {
            kind: "searchIndex",
            knowledgeSourceName: 'earth-knowledge-source',
            includeReferences: true,
            includeReferenceSourceData: true,
            alwaysQuerySource: true,
            rerankerThreshold: 2.5
        }
    ],
    includeActivity: true,
    retrievalReasoningEffort: { kind: "low" }
};

const result = await knowledgeRetrievalClient.retrieve(retrievalRequest);

Reference:KnowledgeRetrievalClient, KnowledgeBaseRetrievalRequest

Yanıtı, etkinliği ve referansları gözden geçirme

Geri alma hattındaki yanıt, etkinlik ve referansları görüntüleyen aşağıdaki kod:

Answer , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
Activities dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
References , yanıta katkıda bulunan ve her biri tarafından docKeytanımlanan belgeleri listeler.

console.log("\n📝 ANSWER:");
console.log("─".repeat(80));
if (result.response && result.response.length > 0) {
    result.response.forEach((msg) => {
        if (msg.content && msg.content.length > 0) {
            msg.content.forEach((content) => {
                if (content.type === "text" && 'text' in content) {
                    console.log(content.text);
                }
            });
        }
    });
}
console.log("─".repeat(80));

if (result.activity) {
    console.log("\nActivities:");
    result.activity.forEach((activity) => {
        console.log(`Activity Type: ${activity.type}`);
        console.log(JSON.stringify(activity, null, 2));
    });
}

if (result.references) {
    console.log("\nReferences:");
    result.references.forEach((reference) => {
        console.log(`Reference Type: ${reference.type}`);
        console.log(JSON.stringify(reference, null, 2));
    });
}

Konuşmaya devam et

const query2 = "How do I find lava at night?";
console.log(`\n❓ Follow-up question: ${query2}`);

const retrievalRequest2 = {
    messages: [
        {
            role: "user",
            content: [
                {
                    type: "text",
                    text: query2
                }
            ]
        }
    ],
    knowledgeSourceParams: [
        {
            kind: "searchIndex",
            knowledgeSourceName: 'earth-knowledge-source',
            includeReferences: true,
            includeReferenceSourceData: true,
            alwaysQuerySource: true,
            rerankerThreshold: 2.5
        }
    ],
    includeActivity: true,
    retrievalReasoningEffort: { kind: "low" }
};

const result2 = await knowledgeRetrievalClient.retrieve(retrievalRequest2);

Yeni yanıtı, etkinliği ve başvuruları gözden geçirin

Bilgi alma işlem hattındaki yeni yanıtı, etkinliği ve atıfları görüntüleyen aşağıdaki kod.

console.log("\n📝 ANSWER:");
console.log("─".repeat(80));
if (result2.response && result2.response.length > 0) {
    result2.response.forEach((msg) => {
        if (msg.content && msg.content.length > 0) {
            msg.content.forEach((content) => {
                if (content.type === "text" && 'text' in content) {
                    console.log(content.text);
                }
            });
        }
    });
}
console.log("─".repeat(80));

if (result2.activity) {
    console.log("\nActivities:");
    result2.activity.forEach((activity) => {
        console.log(`Activity Type: ${activity.type}`);
        console.log(JSON.stringify(activity, null, 2));
    });
}

if (result2.references) {
    console.log("\nReferences:");
    result2.references.forEach((reference) => {
        console.log(`Reference Type: ${reference.type}`);
        console.log(JSON.stringify(reference, null, 2));
    });
}

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Aksi takdirde, dosyasından aşağıdaki kod index.js bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

await searchIndexClient.deleteKnowledgeBase('earth-knowledge-base');
await searchIndexClient.deleteKnowledgeSource('earth-knowledge-source');
await searchIndexClient.deleteIndex('earth_at_night');

console.log(`\n🗑️  Cleaned up resources.`);

Not

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
Python 3.8 veya üzeri.
Python ve Jupyter uzantılarıyla Visual Studio Code.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Azure Yapay Zeka Arama'te nesne oluşturma ve kullanma izni. Rol tabanlı erişim öneririz, ancak rol ataması uygun değilse API anahtarlarını kullanabilirsiniz. Daha fazla bilgi için bkz. Arama hizmetine bağlanma.
Arama Hizmeti REST API'lerinin 2026-05-01-preview sürümü.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-python-samples

Hızlı başlangıç klasörüne gidin ve Visual Studio Code açın.

cd azure-search-python-samples/Quickstart-Agentic-Retrieval
code .

içindesample.env, ve SEARCH_ENDPOINT için AOAI_ENDPOINT yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
olarak sample.envyeniden adlandırın.env.
```
mv sample.env .env
```
Aç quickstart-agentic-retrieval.ipynb.
Ctrl+Shift+P tuşlarına basın, Not Defteri: Not Defteri Çekirdeği'ni seçin ve bir sanal ortam oluşturmak için istemleri izleyin. Bağımlılıklar için requirements.txt seçin.

Tamamlandığında, proje dizininde bir .venv klasör görmeniz gerekir.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Kodu çalıştırma

Load connections Gerekli paketleri yüklemek ve ortam değişkenlerini yüklemek için hücreyi çalıştırın.
Dizin oluşturmak, belgeleri yüklemek, bilgi kaynağını ve bilgi bankasını yapılandırmak ve otomatik alma sorgularını çalıştırmak için kalan hücreleri sırayla çalıştırın.

Çıkış

Her kod hücresi çıktısını not defterine yazdırır. Aşağıdaki örnekte, tüm hücreler çalıştırıldıktan sonra çıkış gösterilmektedir:

Documents uploaded to index 'earth-at-night' successfully.
Knowledge source 'earth-knowledge-source' created or updated successfully.
Knowledge base 'earth-knowledge-base' created or updated successfully.
Retrieved content from 'earth-knowledge-base' successfully.
response_content:
 Suburban belts brighten more in December because holiday lighting is concentrated in suburbs and outskirts—where yard space and single-family homes allow more displays—while central urban cores already have much higher absolute light levels so their fractional increase is smaller [ref_id:4][ref_id:7].
The Phoenix street grid is sharply visible from space because its regular block pattern plus continuous street, commercial, and corridor lighting (including the diagonal Grand Avenue) produce a bright, grid-like signature at night [ref_id:3][ref_id:0], whereas interstate corridors between Midwestern cities often appear comparatively dim because light is concentrated at urban nodes and ports while long stretches of highway and rivers lack continuous lighting [ref_id:7][ref_id:2].

activity_content:
 [
  {
    "id": 0,
    "type": "modelQueryPlanning",
    "elapsed_ms": 16946,
    "input_tokens": 1354,
    "output_tokens": 906
  },
  {
    "id": 1,
    "type": "searchIndex",
    "elapsed_ms": 887,
    "knowledge_source_name": "earth-knowledge-source",
    "query_time": "2025-11-05T16:17:48.345Z",
    "count": 22,
    "search_index_arguments": {
      "search": "December brightening in satellite nighttime lights: why do suburban belts show larger relative increases in December than urban cores despite higher absolute downtown light levels?"
    }
  },
  ... // Trimmed for brevity
  {
    "id": 4,
    "type": "agenticReasoning",
    "reasoning_tokens": 72191,
    "retrieval_reasoning_effort": {
      "kind": "low"
    }
  },
  {
    "id": 5,
    "type": "modelAnswerSynthesis",
    "elapsed_ms": 22353,
    "input_tokens": 7564,
    "output_tokens": 1645
  }
]

references_content:
 [
  {
    "type": "searchIndex",
    "id": "0",
    "activity_source": 2,
    "source_data": {
      "id": "earth_at_night_508_page_105_verbalized",
      "page_chunk": "# Urban Structure\n\n## March 16, 2013\n\n### Phoenix Metropolitan Area at Night\n\nThis figure presents a nighttime satellite view of the Phoenix metropolitan area, highlighting urban structure and transport corridors. City lights illuminate the layout of several cities and major thoroughfares.\n\n**Labeled Urban Features:**\n\n- **Phoenix:** Central and brightest area in the right-center of the image.\n- **Glendale:** Located to the west of Phoenix, this city is also brightly lit.\n- **Peoria:** Further northwest, this area is labeled and its illuminated grid is seen.\n- **Grand Avenue:** Clearly visible as a diagonal, brightly lit thoroughfare running from Phoenix through Glendale and Peoria.\n- **Salt River Channel:** Identified in the southeast portion, running through illuminated sections.\n- **Phoenix Mountains:** Dark, undeveloped region to the northeast of Phoenix.\n- **Agricultural Fields:** Southwestern corner of the image, grid patterns are visible but with much less illumination, indicating agricultural land use.\n\n**Additional Notes:**\n\n- The overall pattern shows a grid-like urban development typical of western U.S. cities, with scattered bright nodes at major intersections or city centers.\n- There is a clear transition from dense urban development to sparsely populated or agricultural land, particularly evident towards the bottom and left of the image.\n- The illuminated areas follow the existing road and street grids, showcasing the extensive spread of the metropolitan area.\n\n**Figure Description:**  \nA satellite nighttime image captured on March 16, 2013, showing Phoenix and surrounding areas (including Glendale and Peoria). Major landscape and infrastructural features, such as the Phoenix Mountains, Grand Avenue, the Salt River Channel, and agricultural fields, are labeled. The image reveals the extent of urbanization and the characteristic street grid illuminated by city lights.\n\n---\n\nPage 89",
      "page_number": 105
    },
    "reranker_score": 2.722408,
    "doc_key": "earth_at_night_508_page_105_verbalized"
  },
  ... // Trimmed for brevity
]
Retrieved content from 'earth-knowledge-base' successfully.
response_content:
  ... // Trimmed for brevity

activity_content:
 [
  ... // Trimmed for brevity
]

references_content:
 [
  ... // Trimmed for brevity
]
Knowledge base 'earth-knowledge-base' deleted successfully.
Knowledge source 'earth-knowledge-source' deleted successfully.
Index 'earth-at-night' deleted successfully.

Kodu anlama

Not

Bu bölümdeki kod parçacıkları okunabilirlik için değiştirilmiş olabilir. Tam bir çalışma örneği için kaynak koduna bakın.

Artık kodu çalıştırdığınıza göre, temel adımları ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Mesajları ayarlama
Alma işlem hattını çalıştırma
Konuşmaya devam et

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth-at-nightbir dizini tanımlar.

# Create an index
azure_openai_token_provider = get_bearer_token_provider(credential, "https://ai.azure.com/.default")

index = SearchIndex(
    name=index_name,
    fields=[
        SearchField(name="id", type="Edm.String", key=True, filterable=True, sortable=True, facetable=True),
        SearchField(name="page_chunk", type="Edm.String", filterable=False, sortable=False, facetable=False),
        SearchField(name="page_embedding_text_3_large", type="Collection(Edm.Single)", stored=False, vector_search_dimensions=3072, vector_search_profile_name="hnsw_text_3_large"),
        SearchField(name="page_number", type="Edm.Int32", filterable=True, sortable=True, facetable=True)
    ],
    vector_search=VectorSearch(
        profiles=[VectorSearchProfile(name="hnsw_text_3_large", algorithm_configuration_name="alg", vectorizer_name="azure_openai_text_3_large")],
        algorithms=[HnswAlgorithmConfiguration(name="alg")],
        vectorizers=[
            AzureOpenAIVectorizer(
                vectorizer_name="azure_openai_text_3_large",
                parameters=AzureOpenAIVectorizerParameters(
                    resource_url=aoai_endpoint,
                    deployment_name=aoai_embedding_deployment,
                    model_name=aoai_embedding_model
                )
            )
        ]
    ),
    semantic_search=SemanticSearch(
        default_configuration_name="semantic_config",
        configurations=[
            SemanticConfiguration(
                name="semantic_config",
                prioritized_fields=SemanticPrioritizedFields(
                    content_fields=[
                        SemanticField(field_name="page_chunk")
                    ]
                )
            )
        ]
    )
)

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.create_or_update_index(index)
print(f"Index '{index_name}' created or updated successfully.")

Başvuru:SearchField, VectorSearch, SemanticSearch, SearchIndex, SearchIndexClient

Belgeleri dizine yükleme

# Upload documents
url = "https://raw.githubusercontent.com/Azure-Samples/azure-search-sample-data/refs/heads/main/nasa-e-book/earth-at-night-json/documents.json"
documents = requests.get(url).json()

with SearchIndexingBufferedSender(endpoint=search_endpoint, index_name=index_name, credential=credential) as client:
    client.upload_documents(documents=documents)

print(f"Documents uploaded to index '{index_name}' successfully.")

Referans:SearchIndexingBufferedSender

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

source_data_fields hangi dizin alanlarının alıntı başvurularına dahil olduğunu belirtir. Bu örnek, yanıtlarda uzun ve anlaşılmaz eklemelerden kaçınmak için yalnızca insan tarafından okunabilen alanları içerir.

# Create a knowledge source
ks = SearchIndexKnowledgeSource(
    name=knowledge_source_name,
    description="Knowledge source for Earth at night data",
    search_index_parameters=SearchIndexKnowledgeSourceParameters(
        search_index_name=index_name,
        source_data_fields=[SearchIndexFieldReference(name="id"), SearchIndexFieldReference(name="page_number")]
    ),
)

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.create_or_update_knowledge_source(knowledge_source=ks)
print(f"Knowledge source '{knowledge_source_name}' created or updated successfully.")

Başvuru:SearchIndexKnowledgeSource

Bilgi bankası oluşturma

output_mode olarak ayarlanır answerSynthesis ve alınan belgeleri alıntılayan ve sağlanan answer_instructions izleyen doğal dil yanıtlarını etkinleştirir.

# Create a knowledge base
aoai_params = AzureOpenAIVectorizerParameters(
    resource_url=aoai_endpoint,
    deployment_name=aoai_gpt_deployment,
    model_name=aoai_gpt_model,
)

knowledge_base = KnowledgeBase(
    name=knowledge_base_name,
    models=[KnowledgeBaseAzureOpenAIModel(azure_open_ai_parameters=aoai_params)],
    knowledge_sources=[
        KnowledgeSourceReference(
            name=knowledge_source_name
        )
    ],
    output_mode="answerSynthesis",
    answer_instructions="Provide a 2 sentence concise and informative answer based on the retrieved documents."
)

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.create_or_update_knowledge_base(knowledge_base)
print(f"Knowledge base '{knowledge_base_name}' created or updated successfully.")

Başvuru:KnowledgeBase

İletileri ayarlama

Aşağıdaki kod, earth-knowledge-base'in gece Dünya hakkındaki soruları yanıtlamasını ve yanıtlar kullanılamadığında "Bilmiyorum" demesini sağlayan bir sistem iletisi oluşturur.

# Set up messages
instructions = """
A Q&A agent that can answer questions about the Earth at night.
If you don't have the answer, respond with "I don't know".
"""

messages = [
    {
        "role": "system",
        "content": instructions
    }
]

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

# Run agentic retrieval
agent_client = KnowledgeBaseRetrievalClient(endpoint=search_endpoint, knowledge_base_name=knowledge_base_name, credential=credential)
query_1 = """
    Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown?
    Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?
    """

messages.append({
    "role": "user",
    "content": query_1
})

req = KnowledgeBaseRetrievalRequest(
    messages=[
        KnowledgeBaseMessage(
            role=m["role"],
            content=[KnowledgeBaseMessageTextContent(text=m["content"])]
        ) for m in messages if m["role"] != "system"
    ],
    knowledge_source_params=[
        SearchIndexKnowledgeSourceParams(
            knowledge_source_name=knowledge_source_name,
            include_references=True,
            include_reference_source_data=True,
            always_query_source=True
        )
    ],
    include_activity=True,
    retrieval_reasoning_effort=KnowledgeRetrievalLowReasoningEffort()
)

result = agent_client.retrieve(retrieval_request=req)
print(f"Retrieved content from '{knowledge_base_name}' successfully.")

Reference:KnowledgeBaseRetrievalClient, KnowledgeBaseRetrievalRequest

Yanıtı, etkinliği ve referansları gözden geçirme

Geri alma hattındaki yanıt, etkinlik ve referansları görüntüleyen aşağıdaki kod:

response_contents , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
activity_contents dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
references_contents , yanıta katkıda bulunan ve her biri tarafından doc_keytanımlanan belgeleri listeler.

# Display the response, activity, and references
response_contents = []
activity_contents = []
references_contents = []

response_parts = []
for resp in result.response:
    for content in resp.content:
        response_parts.append(content.text)
response_content = "\n\n".join(response_parts) if response_parts else "No response found on 'result'"

response_contents.append(response_content)

# Print the three string values
print("response_content:\n", response_content, "\n")

messages.append({
    "role": "assistant",
    "content": response_content
})

if result.activity:
    activity_content = json.dumps([a.as_dict() for a in result.activity], indent=2)
else:
    activity_content = "No activity found on 'result'"
    
activity_contents.append(activity_content)
print("activity_content:\n", activity_content, "\n")

if result.references:
    references_content = json.dumps([r.as_dict() for r in result.references], indent=2)
else:
    references_content = "No references found on 'result'"
    
references_contents.append(references_content)
print("references_content:\n", references_content)

Konuşmaya devam et

# Continue the conversation
query_2 = "How do I find lava at night?"
messages.append({
    "role": "user",
    "content": query_2
})

req = KnowledgeBaseRetrievalRequest(
    messages=[
        KnowledgeBaseMessage(
            role=m["role"],
            content=[KnowledgeBaseMessageTextContent(text=m["content"])]
        ) for m in messages if m["role"] != "system"
    ],
    knowledge_source_params=[
        SearchIndexKnowledgeSourceParams(
            knowledge_source_name=knowledge_source_name,
            include_references=True,
            include_reference_source_data=True,
            always_query_source=True
        )
    ],
    include_activity=True,
    retrieval_reasoning_effort=KnowledgeRetrievalLowReasoningEffort()
)

result = agent_client.retrieve(retrieval_request=req)
print(f"Retrieved content from '{knowledge_base_name}' successfully.")

Yeni yanıtı, etkinliği ve başvuruları gözden geçirin

Bilgi alma işlem hattındaki yeni yanıtı, etkinliği ve atıfları görüntüleyen aşağıdaki kod.

# Display the new retrieval response, activity, and references
response_parts = []
for resp in result.response:
    for content in resp.content:
        response_parts.append(content.text)
response_content = "\n\n".join(response_parts) if response_parts else "No response found on 'result'"

response_contents.append(response_content)

# Print the three string values
print("response_content:\n", response_content, "\n")

if result.activity:
    activity_content = json.dumps([a.as_dict() for a in result.activity], indent=2)
else:
    activity_content = "No activity found on 'result'"
    
activity_contents.append(activity_content)
print("activity_content:\n", activity_content, "\n")

if result.references:
    references_content = json.dumps([r.as_dict() for r in result.references], indent=2)
else:
    references_content = "No references found on 'result'"
    
references_contents.append(references_content)
print("references_content:\n", references_content)

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Aksi takdirde, dosyasından aşağıdaki kod quickstart-agentic-retrieval.ipynb bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

Bilgi bankasını silme

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.delete_knowledge_base(knowledge_base_name)
print(f"Knowledge base '{knowledge_base_name}' deleted successfully.")

Bilgi kaynağını silme

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.delete_knowledge_source(knowledge_source=knowledge_source_name)
print(f"Knowledge source '{knowledge_source_name}' deleted successfully.")

Arama dizinini silme

index_client = SearchIndexClient(endpoint=search_endpoint, credential=credential)
index_client.delete_index(index_name)
print(f"Index '{index_name}' deleted successfully.")

Not

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
Node.js 20 LTS veya üzeri.
TypeScript'i JavaScript'e derlemek için TypeScript.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Azure Yapay Zeka Arama'te nesne oluşturma ve kullanma izni. Rol tabanlı erişim öneririz, ancak rol ataması uygun değilse API anahtarlarını kullanabilirsiniz. Daha fazla bilgi için bkz. Arama hizmetine bağlanma.
Arama Hizmeti REST API'lerinin 2026-05-01-preview sürümü.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-javascript-samples

Hızlı başlangıç klasörüne gidin.

cd azure-search-javascript-samples/quickstart-agentic-retrieval-ts

içindesample.env, ve AZURE_SEARCH_ENDPOINT için AZURE_OPENAI_ENDPOINT yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
olarak sample.envyeniden adlandırın.env.
```
mv sample.env .env
```
Bağımlılıkları yükleyin.
```
npm install
```
Yükleme tamamlandığında proje dizininde bir node_modules klasör görürsünüz.
TypeScript dosyalarını JavaScript'e derleyin.
```
npm run build
```
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Kodu çalıştırma

Dizin oluşturmak, belgeleri karşıya yüklemek, bilgi kaynağı ve bilgi bankası yapılandırmak ve aracısal alma sorguları çalıştırmak için uygulamayı çalıştırın.

npm start

Not

Bu komut, .js klasöründeki derlenmiş dist dosyalarını çalıştırır. Node.js yürütülmeden önce TypeScript kodunun JavaScript'e çevrilmiş olmasını gerektirir. Bu nedenle daha önce komutunu çalıştırmış npm run buildolursunuz.

Çıkış

Uygulamanın çıkışı aşağıdakine benzer olmalıdır:

Waiting for indexing to complete...
Expected documents: 194
Current indexed count: 194
✓ All 194 documents indexed successfully!
✅ Knowledge source 'earth-knowledge-source' created successfully.
✅ Knowledge base 'earth-knowledge-base' created successfully.

📝 ANSWER:
────────────────────────────────────────────────────────────────────────────────
Suburban belts show larger December brightening (20–50% increases) because residential holiday lighting and seasonal decorations are concentrated there, so relative (fractional) increases over the baseline are bigger even though absolute downtown radiances remain higher; urban cores already emit strong baseline light while many suburbs add a large seasonal increment visible in VIIRS DNB observations [ref_id:0][ref_id:1]. The Phoenix street grid appears sharply from space because continuous, street‑oriented lighting with regular residential lot spacing and little vegetative masking produces strong, linear emissions, whereas long interstate stretches between Midwestern cities have sparser, access‑limited lighting, fewer adjacent developments and more shielded fixtures so they register comparatively dim on night‑light sensors like VIIRS/DNB [ref_id:0][ref_id:1].
────────────────────────────────────────────────────────────────────────────────

Activities:
Activity Type: modelQueryPlanning
{
  "id": 0,
  "type": "modelQueryPlanning",
  "elapsedMs": 5883,
  "inputTokens": 1489,
  "outputTokens": 326
}
Activity Type: searchIndex
{
  "id": 1,
  "type": "searchIndex",
  "elapsedMs": 527,
  "knowledgeSourceName": "earth-knowledge-source",
  "queryTime": "2025-12-19T15:38:23.462Z",
  "count": 1,
  "searchIndexArguments": {
    "search": "December brightening suburban belts vs urban cores light pollution causes December increase in night lights suburban vs urban",
    "filter": null,
    "sourceDataFields": [
      {
        "name": "page_chunk"
      },
      {
        "name": "id"
      },
      {
        "name": "page_number"
      }
    ],
    "searchFields": [],
    "semanticConfigurationName": "semantic_config"
  }
}
... // Trimmed for brevity
Activity Type: agenticReasoning
{
  "id": 4,
  "type": "agenticReasoning",
  "reasoningTokens": 70397,
  "retrievalReasoningEffort": {
    "kind": "low"
  }
}
Activity Type: modelAnswerSynthesis
{
  "id": 5,
  "type": "modelAnswerSynthesis",
  "elapsedMs": 4908,
  "inputTokens": 4013,
  "outputTokens": 187
}

References:
Reference Type: searchIndex
{
  "type": "searchIndex",
  "id": "0",
  "activitySource": 3,
  "sourceData": {
    "id": "earth_at_night_508_page_174_verbalized",
    "page_chunk": "<!-- PageHeader=\"Holiday Lights\" -->\n\n## Holiday Lights\n\n### Bursting with Holiday Energy-United States\n\nNASA researchers found that nighttime lights in the United States shine 20 to 50 percent brighter in December due to holiday light displays and other activities during Christmas and New Year's when compared to light output during the rest of the year.\n\nThe next five maps (see also pages 161-163), created using data from the VIIRS DNB on the Suomi NPP satellite, show changes in lighting intensity and location around many major cities, comparing the nighttime light signals from December 2012 and beyond.\n\n---\n\n#### Figure 1. Location Overview\n\nA map of the western hemisphere with a marker indicating the mid-Atlantic region of the eastern United States, where the study of holiday lighting intensity was focused.\n\n---\n\n#### Figure 2. Holiday Lighting Intensity: Mid-Atlantic United States (2012–2014)\n\nA map showing Maryland, New Jersey, Delaware, Virginia, West Virginia, Ohio, Kentucky, Tennessee, North Carolina, South Carolina, and surrounding areas. Major cities labeled include Washington, D.C., Richmond, Norfolk, and Raleigh.\n\nThe map uses colors to indicate changes in holiday nighttime lighting intensity between 2012 and 2014:\n\n- **Green/bright areas**: More holiday lighting (areas shining 20–50% brighter in December).\n- **Yellow areas**: No change in lighting.\n- **Dim/grey areas**: Less holiday lighting.\n\nKey observations from the map:\n\n- The Washington, D.C. metropolitan area shows significant increases in lighting during the holidays, extending into Maryland and Virginia.\n- Urban centers such as Richmond (Virginia), Norfolk (Virginia), Raleigh (North Carolina), and clusters in Tennessee and South Carolina also experience notable increases in light intensity during December.\n- Rural areas and the interiors of West Virginia, Kentucky, and North Carolina show little change or less holiday lighting, corresponding to population density and urbanization.\n\n**Legend:**\n\n| Holiday Lighting Change | Color on Map   |\n|------------------------|---------------|\n| More                   | Green/bright  |\n| No Change              | Yellow        |\n| Less                   | Dim/grey      |\n\n_The scale bar indicates a distance of 100 km for reference._\n\n---\n\n<!-- PageFooter=\"158 Earth at Night\" -->",
    "page_number": 174
  },
  "rerankerScore": 2.6692379,
  "docKey": "earth_at_night_508_page_174_verbalized"
}
... // Trimmed for brevity

❓ Follow-up question: How do I find lava at night?

📝 ANSWER:
────────────────────────────────────────────────────────────────────────────────
... // Trimmed for brevity
────────────────────────────────────────────────────────────────────────────────

Activities:
... // Trimmed for brevity

References:
... // Trimmed for brevity

✅ Quickstart completed successfully!

🗑️  Cleaned up resources.

Kodu anlama

Artık kodu edindiğinize göre, temel bileşenleri ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Alma işlem hattını çalıştırma
Yanıtı, etkinliği ve başvuruları gözden geçir
Konuşmaya devam et

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth_at_nightbir dizini tanımlar.

const index: SearchIndex = {
    name: 'earth_at_night',
    fields: [
        {
            name: "id",
            type: "Edm.String",
            key: true,
            filterable: true,
            sortable: true,
            facetable: true
        } as SearchField,
        {
            name: "page_chunk",
            type: "Edm.String",
            searchable: true,
            filterable: false,
            sortable: false,
            facetable: false
        } as SearchField,
        {
            name: "page_embedding_text_3_large",
            type: "Collection(Edm.Single)",
            searchable: true,
            filterable: false,
            sortable: false,
            facetable: false,
            vectorSearchDimensions: 3072,
            vectorSearchProfileName: "hnsw_text_3_large"
        } as SearchField,
        {
            name: "page_number",
            type: "Edm.Int32",
            filterable: true,
            sortable: true,
            facetable: true
        } as SearchField
    ],
    vectorSearch: {
        profiles: [
            {
                name: "hnsw_text_3_large",
                algorithmConfigurationName: "alg",
                vectorizerName: "azure_openai_text_3_large"
            } as VectorSearchProfile
        ],
        algorithms: [
            {
                name: "alg",
                kind: "hnsw"
            } as HnswAlgorithmConfiguration
        ],
        vectorizers: [
            {
                vectorizerName: "azure_openai_text_3_large",
                kind: "azureOpenAI",
                parameters: {
                    resourceUrl: process.env.AZURE_OPENAI_ENDPOINT!,
                    deploymentId: process.env.AZURE_OPENAI_EMBEDDING_DEPLOYMENT!,
                    modelName: process.env.AZURE_OPENAI_EMBEDDING_DEPLOYMENT!
                } as AzureOpenAIParameters
            } as AzureOpenAIVectorizer
        ]
    } as VectorSearch,
    semanticSearch: {
        defaultConfigurationName: "semantic_config",
        configurations: [
            {
                name: "semantic_config",
                prioritizedFields: {
                    contentFields: [
                        { name: "page_chunk" } as SemanticField
                    ]
                } as SemanticPrioritizedFields
            } as SemanticConfiguration
        ]
    } as SemanticSearch
};

const credential = new DefaultAzureCredential();

const searchIndexClient = new SearchIndexClient(process.env.AZURE_SEARCH_ENDPOINT!, credential);
const searchClient = new SearchClient<EarthAtNightDocument>(process.env.AZURE_SEARCH_ENDPOINT!, 'earth_at_night', credential);

await searchIndexClient.createOrUpdateIndex(index);

Başvuru:SearchField, VectorSearch, SemanticSearch, SearchIndex, SearchIndexClient, SearchClient, DefaultAzureCredential

Belgeleri dizine yükleme

const response = await fetch("https://raw.githubusercontent.com/Azure-Samples/azure-search-sample-data/refs/heads/main/nasa-e-book/earth-at-night-json/documents.json");

if (!response.ok) {
    throw new Error(`Failed to fetch documents: ${response.status} ${response.statusText}`);
}
const documents = await response.json() as any[];

const bufferedClient = new SearchIndexingBufferedSender<EarthAtNightDocument>(
    searchClient,
    documentKeyRetriever,
    {
        autoFlush: true,
    },
);

await bufferedClient.uploadDocuments(documents);
await bufferedClient.flush();
await bufferedClient.dispose();

console.log(`Waiting for indexing to complete...`);
console.log(`Expected documents: ${documents.length}`);
await delay(WAIT_TIME);

let count = await searchClient.getDocumentsCount();
console.log(`Current indexed count: ${count}`);

while (count !== documents.length) {
    await delay(WAIT_TIME);
    count = await searchClient.getDocumentsCount();
    console.log(`Current indexed count: ${count}`);
}

console.log(`✓ All ${documents.length} documents indexed successfully!`);

Referans:SearchIndexingBufferedSender

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

await searchIndexClient.createKnowledgeSource({
    name: 'earth-knowledge-source',
    description: "Knowledge source for Earth at Night e-book content",
    kind: "searchIndex",
    searchIndexParameters: {
        searchIndexName: 'earth_at_night',
        sourceDataFields: [
            { name: "id" },
            { name: "page_number" }
        ]
    }
});

console.log(`✅ Knowledge source 'earth-knowledge-source' created successfully.`);

Başvuru:SearchIndexKnowledgeSource

Bilgi bankası oluşturma

outputMode olarak ayarlanır answerSynthesis ve alınan belgeleri alıntılayan ve sağlanan answerInstructions izleyen doğal dil yanıtlarını etkinleştirir.

await searchIndexClient.createKnowledgeBase({
    name: 'earth-knowledge-base',
    knowledgeSources: [
        {
            name: 'earth-knowledge-source'
        }
    ],
    models: [
        {
            kind: "azureOpenAI",
            azureOpenAIParameters: {
                resourceUrl: process.env.AZURE_OPENAI_ENDPOINT!,
                deploymentId: process.env.AZURE_OPENAI_GPT_DEPLOYMENT!,
                modelName: process.env.AZURE_OPENAI_GPT_DEPLOYMENT!
            }
        }
    ],
    outputMode: "answerSynthesis" as KnowledgeRetrievalOutputMode,
    answerInstructions: "Provide a two sentence concise and informative answer based on the retrieved documents."
});

console.log(`✅ Knowledge base 'earth-knowledge-base' created successfully.`);

Başvuru:KnowledgeBase

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

const knowledgeRetrievalClient = new KnowledgeRetrievalClient(
    process.env.AZURE_SEARCH_ENDPOINT!,
    'earth-knowledge-base',
    credential
);

const query1 = `Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?`;

const retrievalRequest = {
    messages: [
        {
            role: "user",
            content: [
                {
                    type: "text" as const,
                    text: query1
                }
            ]
        }
    ],
    knowledgeSourceParams: [
        {
            kind: "searchIndex" as const,
            knowledgeSourceName: 'earth-knowledge-source',
            includeReferences: true,
            includeReferenceSourceData: true,
            alwaysQuerySource: true,
            rerankerThreshold: 2.5
        }
    ],
    includeActivity: true,
    retrievalReasoningEffort: { kind: "low" as const }
};

const result = await knowledgeRetrievalClient.retrieve(retrievalRequest);

Reference:KnowledgeRetrievalClient, KnowledgeBaseRetrievalRequest

Yanıtı, etkinliği ve referansları gözden geçirme

Geri alma hattındaki yanıt, etkinlik ve referansları görüntüleyen aşağıdaki kod:

Answer , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
Activities dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
References , yanıta katkıda bulunan ve her biri tarafından docKeytanımlanan belgeleri listeler.

console.log("\n📝 ANSWER:");
console.log("─".repeat(80));
if (result.response && result.response.length > 0) {
    result.response.forEach((msg) => {
        if (msg.content && msg.content.length > 0) {
            msg.content.forEach((content) => {
                if (content.type === "text" && 'text' in content) {
                    console.log(content.text);
                }
            });
        }
    });
}
console.log("─".repeat(80));

if (result.activity) {
    console.log("\nActivities:");
    result.activity.forEach((activity) => {
        console.log(`Activity Type: ${activity.type}`);
        console.log(JSON.stringify(activity, null, 2));
    });
}

if (result.references) {
    console.log("\nReferences:");
    result.references.forEach((reference) => {
        console.log(`Reference Type: ${reference.type}`);
        console.log(JSON.stringify(reference, null, 2));
    });
}

Konuşmaya devam et

const query2 = "How do I find lava at night?";
console.log(`\n❓ Follow-up question: ${query2}`);

const retrievalRequest2 = {
    messages: [
        {
            role: "user",
            content: [
                {
                    type: "text" as const,
                    text: query2
                }
            ]
        }
    ],
    knowledgeSourceParams: [
        {
            kind: "searchIndex" as const,
            knowledgeSourceName: 'earth-knowledge-source',
            includeReferences: true,
            includeReferenceSourceData: true,
            alwaysQuerySource: true,
            rerankerThreshold: 2.5
        }
    ],
    includeActivity: true,
    retrievalReasoningEffort: { kind: "low" as const }
};

const result2 = await knowledgeRetrievalClient.retrieve(retrievalRequest2);

Yeni yanıtı, etkinliği ve başvuruları gözden geçirin

Bilgi alma işlem hattındaki yeni yanıtı, etkinliği ve atıfları görüntüleyen aşağıdaki kod.

console.log("\n📝 ANSWER:");
console.log("─".repeat(80));
if (result2.response && result2.response.length > 0) {
    result2.response.forEach((msg) => {
        if (msg.content && msg.content.length > 0) {
            msg.content.forEach((content) => {
                if (content.type === "text" && 'text' in content) {
                    console.log(content.text);
                }
            });
        }
    });
}
console.log("─".repeat(80));

if (result2.activity) {
    console.log("\nActivities:");
    result2.activity.forEach((activity) => {
        console.log(`Activity Type: ${activity.type}`);
        console.log(JSON.stringify(activity, null, 2));
    });
}

if (result2.references) {
    console.log("\nReferences:");
    result2.references.forEach((reference) => {
        console.log(`Reference Type: ${reference.type}`);
        console.log(JSON.stringify(reference, null, 2));
    });
}

console.log("\n✅ Quickstart completed successfully!");

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Aksi takdirde, dosyasından aşağıdaki kod index.ts bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

await searchIndexClient.deleteKnowledgeBase('earth-knowledge-base');
await searchIndexClient.deleteKnowledgeSource('earth-knowledge-source');
await searchIndexClient.deleteIndex('earth_at_night');

console.log(`\n🗑️  Cleaned up resources.`);

Not

Kendi verilerinizi kullanabilirsiniz ancak bu hızlı başlangıçta NASA'nın GeceDeki Dünya e-kitabındaki sample JSON belgeleri kullanılabilecek.

Ipucu

Hemen başlamak ister misiniz? GitHub source kodunu indirin.

Önkoşullar

Etkin aboneliği olan bir Azure hesabı. Ücretsiz bir hesap oluşturun.
Azure AI Arama hizmeti sunan herhangi bir bölgede etkin alma sağlayan bir hizmet. Bu hızlı başlangıç, yönetilen kimlik desteği için Temel katmanı veya üzerini gerektirir.
Microsoft Kuluçka projesi ve kaynak. Proje oluşturduğunuzda, kaynak otomatik olarak oluşturulur.
Metinden vektöre dönüştürme için projenize dağıtılan bir ekleme modeli. gibi text-embeddingherhangi bir text-embedding-3-large modeli kullanabilirsiniz.
Sorgu planlama ve yanıt oluşturma için projenize dağıtılan bir LLM. gibi desteklenen herhangi bir gpt-5-mini kullanabilirsiniz.
REST İstemci uzantısı ile Visual Studio Code.
Git'i kullanarak örnek depoyu kopyalayın.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure CLI.

Erişimi yapılandırma

Bu hızlı başlangıç için erişimi yapılandırmak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Rol tabanlı erişimi etkinleştirin.
2. Sistem tarafından atanan bir yönetilen kimlik oluşturun.
3. Kullanıcı hesabınıza şu rolleri atayın: Arama Hizmeti Katkıda Bulunanı, Arama Dizini Veri Katkıda Bulunanı ve Arama Dizini Veri Okuyucusu.
Microsoft Foundry kaynağınızda, arama hizmetinizin yönetilen kimliğine Cognitive Services User atayın.

Önemli

Agentic retrieval iki token tabanlı faturalama modeline sahiptir.

Azure AI Arama için eylemsel getirme faturalandırması.
Azure OpenAI'den sorgu planlama ve yanıt sentezi için faturalama.

Daha fazla bilgi için bkz. Etkin alma kullanılabilirliği ve fiyatlandırması.

Uç noktaları alma

Bu hızlı başlangıcın uç noktalarını almak için:

Azure portalında oturum açın.
Azure Yapay Zeka Arama hizmetinizde:
1. Sol bölmeden Genel Bakış'ı seçin.
2. URL'yi kopyalayın, bu https://my-service.search.windows.net gibi görünmelidir.
Microsoft Foundry kaynağınızda:
1. Sol bölmeden Kaynak Yönetimi>Anahtarları ve Uç Nokta'yı seçin.
2. OpenAI sekmesindeki URL'yi kopyalayın; bu, gibi https://my-resource.openai.azure.com/görünmelidir.

Ortamı ayarlama

Örnek depoyu kopyalamak için Git'i kullanın.

git clone https://github.com/Azure-Samples/azure-search-rest-samples

Hızlı başlangıç klasörüne gidin ve Visual Studio Code açın.
```
cd azure-search-rest-samples/Quickstart-agentic-retrieval
code .
```
içindeagentic-retrieval.rest, ve @search-url için @aoai-url yer tutucu değerlerini Uç noktaları alma bölümünde bulunan URL'lerle değiştirin.
Microsoft Entra ID ile anahtarsız kimlik doğrulaması için Azure hesabınızda oturum açın. Birden çok aboneliğiniz varsa, Azure Yapay Zeka Arama ve Microsoft Dökümhane kaynaklarınızı içeren aboneliği seçin.
```
az login
```

Microsoft Entra ID ile anahtarsız kimlik doğrulaması için bir erişim belirteci oluşturun.

az account get-access-token --scope https://search.azure.com/.default --query accessToken --output tsv

için @token yer tutucu değerini önceki adımdaki belirteçle değiştirin.

Kodu çalıştırma

ile ### Create an indexbaşlayarak her isteği sırayla gönderin.

Her istek bir 200 OK, 201 Createdveya 204 No Content durum kodu döndürmelidir. Hata alırsanız yazım hatası isteğini denetleyin ve belirtecinizin geçerli olduğundan emin olun.

Çıkış

Her istek, işleme göre farklı JSON döndürür. Anahtar çıktı, ### Run agentic retrieval öğesindendir ve şu şeklide gözükmelidir:

{
  "response": [
    {
      "content": [
        {
          "type": "text",
          "text": "Causes (mechanisms) — seasonal and lighting behavior: Residential suburban areas often show larger relative (percentage) December brightening because many homes turn on more outdoor and indoor lights in winter evenings (longer nights and holiday lighting) compared with their usual baseline, producing a bigger percent increase even if absolute downtown lighting remains higher [ref_id:1][ref_id:0]. Snow and increased surface reflectance in winter amplify light seen from orbit, increasing apparent brightness especially where lights are horizontal and near ground level (e.g., suburban streets and yards) [ref_id:0].\n\nResidential vs commercial/industrial lighting and activity patterns: Urban cores have high absolute lumen outputs from continuous commercial, industrial, and dense street lighting that change less seasonally, so percent brightening is smaller; suburbs have lower baseline light but larger seasonal/holiday additions, so their relative brightening is larger [ref_id:1][ref_id:0].\n\nWhy Phoenix’s nighttime street grid is sharply visible (causes and consequences): The Phoenix metropolitan area has a regular, dense grid of north–south/east–west streets and the diagonal Grand Avenue corridor with continuous street and commercial lighting whose spacing and lumen output produce linear, high-contrast features from low-Earth orbit; bright nodes occur at major intersections and commercial properties, making the grid and corridors stand out in satellite night images [ref_id:1][ref_id:0]. Darker pockets (Phoenix Mountains, Salt River channel, agricultural fields) increase contrast and make lit streets appear sharper [ref_id:1][ref_id:0].\n\nWhy long interstates between Midwestern cities appear comparatively dim: Rural interstate stretches often lack continuous high-intensity lighting (limited lamps, wider spacing, fewer ramps and commercial nodes), use lower-output or shielded fixtures, and have long unlit segments between cities, so linear continuity and contrast are much lower than a densely lit urban grid [ref_id:1][ref_id:0].\n\nSensor and dataset effects (consequences for observed brightness): Night-light datasets and orbital sensors (as used to capture images like the Phoenix photo) emphasize linear, continuous lighting patterns; sensor behaviors such as gain and saturation make very bright urban cores register high absolute values while limiting the apparent dynamic range, so relative changes (percentage brightening) in dimmer suburban areas can appear proportionally larger in some satellite products [ref_id:1][ref_id:0].\n\nOverall: larger December brightening in suburban belts is a percentage effect from seasonal/holiday increases, snow reflectance, and residential lighting behavior on a low baseline, whereas urban cores remain brighter in absolute terms but show smaller relative changes; Phoenix’s dense, continuous street-grid lighting and contrasting dark areas create sharp linear features from space, while long, sparsely lit interstates lack that continuity and contrast and therefore appear dimmer [ref_id:1][ref_id:0]."
        }
      ]
    }
  ],
  "activity": [
    {
      "type": "modelQueryPlanning",
      "id": 0,
      "inputTokens": 1350,
      "outputTokens": 1538,
      "elapsedMs": 20780
    },
    {
      "type": "searchIndex",
      "id": 1,
      "knowledgeSourceName": "earth-knowledge-source",
      "queryTime": "2025-11-05T19:42:09.673Z",
      "count": 0,
      "elapsedMs": 694,
      "searchIndexArguments": {
        "search": "December brightening in satellite night lights: why do suburban belts show larger December brightening than urban cores? causes: snow reflectance, holiday/residential lighting, leaf-off, VIIRS/DMSP sensor saturation",
        "filter": null
      }
    },
    {
      "type": "searchIndex",
      "id": 2,
      "knowledgeSourceName": "earth-knowledge-source",
      "queryTime": "2025-11-05T19:42:09.999Z",
      "count": 2,
      "elapsedMs": 325,
      "searchIndexArguments": {
        "search": "Why is the Phoenix nighttime street grid so sharply visible from space while long stretches of interstate between Midwestern cities remain comparatively dim? factors: streetlight spacing, lighting type/shielding, vegetation/tree cover, land use, VIIRS DNB detection",
        "filter": null
      }
    },
    {
      "type": "agenticReasoning",
      "id": 3,
      "retrievalReasoningEffort": {
        "kind": "low"
      },
      "reasoningTokens": 1566
    },
    {
      "type": "modelAnswerSynthesis",
      "id": 4,
      "inputTokens": 3656,
      "outputTokens": 1909,
      "elapsedMs": 21988
    }
  ],
  "references": [
    {
      "type": "searchIndex",
      "id": "0",
      "activitySource": 2,
      "sourceData": {
        "id": "earth_at_night_508_page_104_verbalized",
        "page_chunk": "<!-- PageHeader=\"Urban Structure\" -->\n\n### Location of Phoenix, Arizona\n\nThe image depicts a globe highlighting the location of Phoenix, Arizona, in the southwestern United States, marked with a blue pinpoint on the map of North America. Phoenix is situated in the central part of Arizona, which is in the southwestern region of the United States.\n\n---\n\n### Grid of City Blocks-Phoenix, Arizona\n\nLike many large urban areas of the central and western United States, the Phoenix metropolitan area is laid out along a regular grid of city blocks and streets. While visible during the day, this grid is most evident at night, when the pattern of street lighting is clearly visible from the low-Earth-orbit vantage point of the ISS.\n\nThis astronaut photograph, taken on March 16, 2013, includes parts of several cities in the metropolitan area, including Phoenix (image right), Glendale (center), and Peoria (left). While the major street grid is oriented north-south, the northwest-southeast oriented Grand Avenue cuts across the three cities at image center. Grand Avenue is a major transportation corridor through the western metropolitan area; the lighting patterns of large industrial and commercial properties are visible along its length. Other brightly lit properties include large shopping centers, strip malls, and gas stations, which tend to be located at the intersections of north-south and east-west trending streets.\n\nThe urban grid encourages growth outwards along a city's borders by providing optimal access to new real estate. Fueled by the adoption of widespread personal automobile use during the twentieth century, the Phoenix metropolitan area today includes 25 other municipalities (many of them largely suburban and residential) linked by a network of surface streets and freeways.\n\nWhile much of the land area highlighted in this image is urbanized, there are several noticeably dark areas. The Phoenix Mountains are largely public parks and recreational land. To the west, agricultural fields provide a sharp contrast to the lit streets of residential developments. The Salt River channel appears as a dark ribbon within the urban grid.\n\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"88\" -->",
        "page_number": 104
      },
      "rerankerScore": 2.6394622,
      "docKey": "earth_at_night_508_page_104_verbalized"
    },
    {
      "type": "searchIndex",
      "id": "1",
      "activitySource": 2,
      "sourceData": {
        "id": "earth_at_night_508_page_105_verbalized",
        "page_chunk": "# Urban Structure\n\n## March 16, 2013\n\n### Phoenix Metropolitan Area at Night\n\nThis figure presents a nighttime satellite view of the Phoenix metropolitan area, highlighting urban structure and transport corridors. City lights illuminate the layout of several cities and major thoroughfares.\n\n**Labeled Urban Features:**\n\n- **Phoenix:** Central and brightest area in the right-center of the image.\n- **Glendale:** Located to the west of Phoenix, this city is also brightly lit.\n- **Peoria:** Further northwest, this area is labeled and its illuminated grid is seen.\n- **Grand Avenue:** Clearly visible as a diagonal, brightly lit thoroughfare running from Phoenix through Glendale and Peoria.\n- **Salt River Channel:** Identified in the southeast portion, running through illuminated sections.\n- **Phoenix Mountains:** Dark, undeveloped region to the northeast of Phoenix.\n- **Agricultural Fields:** Southwestern corner of the image, grid patterns are visible but with much less illumination, indicating agricultural land use.\n\n**Additional Notes:**\n\n- The overall pattern shows a grid-like urban development typical of western U.S. cities, with scattered bright nodes at major intersections or city centers.\n- There is a clear transition from dense urban development to sparsely populated or agricultural land, particularly evident towards the bottom and left of the image.\n- The illuminated areas follow the existing road and street grids, showcasing the extensive spread of the metropolitan area.\n\n**Figure Description:**  \nA satellite nighttime image captured on March 16, 2013, showing Phoenix and surrounding areas (including Glendale and Peoria). Major landscape and infrastructural features, such as the Phoenix Mountains, Grand Avenue, the Salt River Channel, and agricultural fields, are labeled. The image reveals the extent of urbanization and the characteristic street grid illuminated by city lights.\n\n---\n\nPage 89",
        "page_number": 105
      },
      "rerankerScore": 2.565024,
      "docKey": "earth_at_night_508_page_105_verbalized"
    }
  ]
}

Kodu anlama

Not

Bu bölümdeki kod parçacıkları okunabilirlik için değiştirilmiş olabilir. Tam bir çalışma örneği için kaynak koduna bakın.

Artık kodu çalıştırdığınıza göre, temel adımları ayıralım:

Arama dizini oluşturma
Belgeleri dizine yükleme
Bilgi kaynağı oluşturma
Bilgi bankası oluşturma
Alma işlem hattını çalıştırma

Arama dizini oluşturma

Azure Yapay Zeka Arama'de dizin, yapılandırılmış bir veri koleksiyonudur. Aşağıdaki kod adlı earth-at-nightbir dizini tanımlar.

### Create an index
PUT {{search-url}}/indexes/{{index-name}}?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

{
    "name": "{{index-name}}",
    "fields": [
        {
            "name": "id",
            "type": "Edm.String",
            "key": true
        },
        {
            "name": "page_chunk",
            "type": "Edm.String",
            "searchable": true
        },
        {
            "name": "page_embedding_text_3_large",
            "type": "Collection(Edm.Single)",
            "stored": false,
            "dimensions": 3072,
            "vectorSearchProfile": "hnsw_text_3_large"
        },
        {
            "name": "page_number",
            "type": "Edm.Int32",
            "filterable": true
        }
    ],
    "semantic": {
        "defaultConfiguration": "semantic_config",
        "configurations": [
            {
                "name": "semantic_config",
                "prioritizedFields": {
                "prioritizedContentFields": [
                    {
                        "fieldName": "page_chunk"
                    }
                ]
                }
            }
        ]
    },
    "vectorSearch": {
        "profiles": [
            {
                "name": "hnsw_text_3_large",
                "algorithm": "alg",
                "vectorizer": "azure_openai_text_3_large"
            }
        ],
        "algorithms": [
            {
                "name": "alg",
                "kind": "hnsw"
            }
        ],
        "vectorizers": [
            {
                "name": "azure_openai_text_3_large",
                "kind": "azureOpenAI",
                "azureOpenAIParameters": {
                "resourceUri": "{{aoai-url}}",
                "deploymentId": "{{aoai-embedding-deployment}}",
                "modelName": "{{aoai-embedding-model}}"
                }
            }
        ]
    }
}

Başvuru:Dizinler - Oluşturma

Belgeleri dizine yükleme

earth-at-night Şu anda dizin boş. Aşağıdaki kod, NASA'nın Earth at Night e-kitabından alınan JSON belgeleriyle dizini doldurur. Azure Yapay Zeka Arama gerektirdiği gibi, her belge dizin şemasında tanımlanan alanlara ve veri türlerine uygundur.

### Upload documents
POST {{search-url}}/indexes/{{index-name}}/docs/index?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

{
    "value": [
        {
            "@search.action": "upload",
            "id": "earth_at_night_508_page_104_verbalized",
            "page_chunk": "<!-- PageHeader=\"Urban Structure\" -->\n\n### Location of Phoenix, Arizona\n\nThe image depicts a globe highlighting the location of Phoenix, Arizona, in the southwestern United States, marked with a blue pinpoint on the map of North America. Phoenix is situated in the central part of Arizona, which is in the southwestern region of the United States.\n\n---\n\n### Grid of City Blocks-Phoenix, Arizona\n\nLike many large urban areas of the central and western United States, the Phoenix metropolitan area is laid out along a regular grid of city blocks and streets. While visible during the day, this grid is most evident at night, when the pattern of street lighting is clearly visible from the low-Earth-orbit vantage point of the ISS.\n\nThis astronaut photograph, taken on March 16, 2013, includes parts of several cities in the metropolitan area, including Phoenix (image right), Glendale (center), and Peoria (left). While the major street grid is oriented north-south, the northwest-southeast oriented Grand Avenue cuts across the three cities at image center. Grand Avenue is a major transportation corridor through the western metropolitan area; the lighting patterns of large industrial and commercial properties are visible along its length. Other brightly lit properties include large shopping centers, strip malls, and gas stations, which tend to be located at the intersections of north-south and east-west trending streets.\n\nThe urban grid encourages growth outwards along a city's borders by providing optimal access to new real estate. Fueled by the adoption of widespread personal automobile use during the twentieth century, the Phoenix metropolitan area today includes 25 other municipalities (many of them largely suburban and residential) linked by a network of surface streets and freeways.\n\nWhile much of the land area highlighted in this image is urbanized, there are several noticeably dark areas. The Phoenix Mountains are largely public parks and recreational land. To the west, agricultural fields provide a sharp contrast to the lit streets of residential developments. The Salt River channel appears as a dark ribbon within the urban grid.\n\n\n<!-- PageFooter=\"Earth at Night\" -->\n<!-- PageNumber=\"88\" -->",
            "page_embedding_text_3_large": [
            -0.002984904684126377, 0.0007500237552449107, -0.004803949501365423, 0.010587676428258419, -0.008392670191824436, -0.043565936386585236, 0.05432070791721344, 0.024532422423362732, -0.03305421024560928, -0.011362385004758835, 0.0029678153805434704, 0.0520421527326107, 0.019276559352874756, -0.05398651957511902, -0.025550175458192825, 0.018592992797493935, -0.02951485849916935, 0.036365706473588943, -0.02734263800084591, 0.028664197772741318, 0.027874300256371498, 0.008255957625806332, -0.05046235769987106, 0.01759042963385582, -0.003096933476626873, 0.03682141751050949, -0.002149434993043542, 0.009190164506435394, 0.0026716035790741444, -0.0031633912585675716, -0.014354884624481201, 0.004758378490805626, 0.01637520082294941, -0.010299060493707657, 0.004705212078988552, 0.016587866470217705, 0.0440824069082737, 0.019033513963222504, 0.039130352437496185, 0.04028481990098953, 0.018760086968541145, -0.05720687285065651, 0.030608562752604485, 0.010526915080845356, 0.020431026816368103, -0.04772809147834778, 0.03262887895107269, -0.02760087326169014, 0.03305421024560928, 0.009068641811609268, -0.003104528645053506, -0.035727713257074356, -0.04490268602967262, -0.039403777569532394, 0.026491977274417877, 0.01214468851685524, 0.037732839584350586, 0.08652425557374954, 0.005525491200387478, -0.0031994683668017387, 0.04684705287218094, 0.02872495912015438, 0.010481344535946846, 0.024076711386442184, 0.015813158825039864, 0.023180481046438217, -0.015949871391057968, 0.014749834313988686, -0.0006285008857958019, 0.0005739105399698019, 0.007192632649093866, 0.05787524953484535, 0.0043748221360147, 0.00038687934284098446, 0.04110509902238846, -0.0028273046482354403, 0.01397512573748827, -0.009106617420911789, -0.00770910456776619, -0.015304281376302242, 0.002582360291853547, -0.01092945970594883, -0.008552169427275658, 0.06665527075529099, 0.04657362401485443, -0.012197853997349739, -0.028861673548817635, -0.08925852179527283, -0.003831766778603196, 0.056538499891757965, -0.023453906178474426, -0.03083641827106476, -0.022223487496376038, -0.010253489017486572, 0.010807937011122704, 0.00313301058486104, 0.033904869109392166, -0.010116775520145893, 0.01742333546280861, 0.02594512514770031, -0.007777461316436529, -0.0002520649286452681, 0.005202696193009615, -0.02594512514770031, 0.010648438706994057, -0.01740814559161663, 0.0031254154164344072, -0.007542010862380266, 0.026142599061131477, 0.01731700450181961, 0.013504224829375744, -0.036183424293994904, -0.006357163190841675, -0.010428178124129772, -0.061338648200035095, 0.005457134917378426, 0.05316624045372009, 0.007861007936298847, 0.04311022534966469, 0.03867464140057564, -0.0021570303943008184, 0.016496725380420685, 0.05246748402714729, 0.007200228050351143, -0.003930503968149424, 0.007785056717693806, 0.017484096810221672, -0.003875439055263996, -0.0031538973562419415, 0.03180859982967377, -0.02497294172644615, 0.03627456724643707, 0.02533750981092453, 0.008385075256228447, -0.007298965007066727, 0.009866135194897652, -0.030168043449521065, 0.02594512514770031, 0.026233742013573647, 0.02079559490084648, -0.03396563231945038, -0.012607993558049202, -0.016162537038326263, -0.03378334641456604, -0.020582929253578186, -0.013846008107066154, 0.010215513408184052, 0.03317573294043541, 0.015706826001405716, -0.015296686440706253, 0.008491408079862595, 0.014727048575878143, 0.021828539669513702, 0.009942086413502693, -0.014096648432314396, -0.00913699809461832, -0.014354884624481201, 0.01672457903623581, -0.06118674576282501, 0.009212949313223362, 0.029970569536089897, -0.016572676599025726, 0.013071299530565739, -0.015828348696231842, 0.0012218741467222571, -0.04663438722491264, 0.01722586154937744, -0.02793506160378456, -0.035909995436668396, 0.007386309560388327, 0.04283680021762848, -0.051252253353595734, -0.036608751863241196, 0.006281211506575346, 0.029043957591056824, -0.022405771538615227, 0.011878857389092445, -0.0073141553439199924, -0.028785720467567444, -0.009904110804200172, -0.023013386875391006, -0.03527200222015381, 0.019534794613718987, -0.005905250087380409, -0.020491788163781166, 0.00045927087194286287, 0.0038450583815574646, -0.013435868546366692, 0.03840121626853943, -0.0059508210979402065, -0.023453906178474426, 0.004492547363042831, 0.05404727905988693, -0.01075477059930563, 0.04760656878352165, -0.04028481990098953, 0.03411753475666046, -0.008878761902451515, -0.02558055706322193, -0.013785246759653091, -0.010071204975247383, -0.01092945970594883, -0.04396088421344757, 0.017909428104758263, 0.03317573294043541, 0.03742903098464012, 0.02349947765469551, -0.013557391241192818, -0.004367226734757423, 0.03970758616924286, -0.002141839824616909, -0.032780785113573074, -0.008324313908815384, -0.025702079758048058, -0.02767682448029518, 0.02166144549846649, 0.03369220718741417, -0.043839361518621445, 0.011871261522173882, -0.024608373641967773, 0.015296686440706253, 0.02942371554672718, -0.015737207606434822, 0.017620811238884926, -0.01663343794643879, -0.03126174956560135, -0.02532231993973255, 0.018334757536649704, -0.04927751049399376, -0.03894806653261185, -0.02002088725566864, -0.025140035897493362, 0.016056204214692116, 0.02898319624364376, 0.029271813109517097, 0.020567739382386208, -0.006436912342905998, 0.022603247314691544, -0.023712143301963806, -0.004386214539408684, 0.030243994668126106, 0.0013244090368971229, -0.019276559352874756, -0.017043577507138252, 0.06234121322631836, -0.01757523976266384, -0.02829962968826294, 0.027099592611193657, 0.02088673785328865, 0.030168043449521065, 0.01005601417273283, -0.01537263859063387, 0.015737207606434822, 0.027904679998755455, 0.05744991824030876, -0.002301338594406843, -0.0022975411266088486, 0.004716604948043823, -0.0006194816087372601, 0.01985379308462143, -0.0403759628534317, 0.03612266108393669, 0.003028576960787177, 0.022694388404488564, 0.014218171127140522, 0.006710338871926069, -0.0023374157026410103, 0.0069951582700014114, 0.011202885769307613, -0.023195670917630196, 0.029742714017629623, -0.057753726840019226, 0.025747649371623993, -0.024000760167837143, 0.015395424328744411, -0.0019073388539254665, 0.019899364560842514, -0.009987657889723778, 0.004492547363042831, -0.018137283623218536, -0.002177916932851076, 0.004283679649233818, 0.03211240842938423, -0.03039589896798134, -0.04830532521009445, 0.037034083157777786, -0.016208108514547348, -0.018349947407841682, -0.010716794990003109, -0.0410747192800045, -0.022846292704343796, -0.08069115877151489, -0.008126839064061642, 0.024532422423362732, 0.03244659677147865, -0.010663628578186035, 0.01184847578406334, -0.05781448632478714, -0.04894332215189934, 0.002551979385316372, -0.008635716512799263, 0.028573056682944298, -0.06471090763807297, 0.033206112682819366, 0.0027589481323957443, 0.0271755438297987, -0.03211240842938423, 0.026598310098052025, -0.04472040385007858, -0.0648931935429573, -0.0012171270791441202, -0.012288996949791908, 0.0015370739856734872, -0.019200608134269714, -0.002876673359423876, 0.011954808607697487, 0.03196050599217415, -0.005316623952239752, -0.011932022869586945, -0.02916548028588295, 0.025534985587000847, -0.044446974992752075, -0.016344821080565453, 0.0257780309766531, -0.02141840010881424, 0.01109655387699604, 0.0007789803203195333, -0.022238679230213165, 0.0008444887353107333, -0.036791037768125534, -0.03806702792644501, 0.008347099646925926, 0.0020070255268365145, -0.021114591509103775, 0.05814867466688156, -0.028512295335531235, 0.031140226870775223, 0.03402639180421829, -0.0044887494295835495, 0.030517421662807465, 0.02401595003902912, -0.018000569194555283, -0.02106902189552784, -0.009676255285739899, 0.02673502266407013, -0.03305421024560928, 0.004750783089548349, 0.03314535319805145, -0.024274185299873352, -0.0007766068447381258, 0.0010823127813637257, 0.016177726909518242, -0.000631823786534369, -0.026507167145609856, 0.025200797244906425, 0.016162537038326263, -0.03621380403637886, -0.015813158825039864, 0.032598499208688736, -0.024775467813014984, 0.03305421024560928, -0.03387448936700821, -0.031565554440021515, 0.006262223701924086, -0.0447811633348465, 0.03232507407665253, -0.014878951944410801, 0.0027342636603862047, 0.005290040746331215, 0.020825974643230438, -0.0506446398794651, 0.030335137620568275, -0.04447735846042633, -0.013299155049026012, -0.01180290523916483, -0.022512104362249374, 0.003322890028357506, -0.004298869986087084, -0.008643311448395252, -0.003376056207343936, -0.0018057533307000995, 0.07036171853542328, 0.03445172309875488, -0.010640842840075493, 0.04554068297147751, 0.045662205666303635, -0.003444412723183632, -0.02305895835161209, 0.018395518884062767, 0.011939618736505508, -0.021175352856516838, -0.03445172309875488, 0.021874109283089638, -0.03867464140057564, 0.0188968013972044, -0.014408051036298275, -0.0021646255627274513, 0.006604006513953209, 0.03663913533091545, 0.022755149751901627, 0.00563562149181962, 0.05122187361121178, 0.0026165384333580732, 0.042624134570360184, -0.016056204214692116, 0.06070065498352051, 0.02384885586798191, -0.04630019888281822, 0.0049976264126598835, -0.038340453058481216, -0.014742238447070122, -0.0049368650652468204, -0.002063989406451583, -0.01803095079958439, -0.009342067874968052, 0.019534794613718987, -0.019868982955813408, 0.023742523044347763, 0.0024361531250178814, -0.006436912342905998, 0.005582455080002546, 0.0036969524808228016, -0.0536523312330246, 0.03132250905036926, -0.0433836504817009, -0.0010073103476315737, 0.012623184360563755, 0.0250792745500803, -0.01018513273447752, 0.017043577507138252, 0.0026279313024133444, -0.011962403543293476, -0.006569828372448683, 0.03332763537764549, -0.03091237135231495, 0.0039039209950715303, 0.014643501490354538, 0.010511725209653378, 0.013481439091265202, -0.03855311870574951, -0.022618437185883522, 0.03882654383778572, -0.010785151273012161, -0.024745086207985878, -0.01646634377539158, 0.05407766252756119, -0.003926706500351429, 0.01502326037734747, 0.03265926241874695, -0.034968193620443344, -0.037489794194698334, 0.04219880327582359, -0.031474415212869644, -0.0060381656512618065, 0.017043577507138252, -0.013921959325671196, -0.018395518884062767, -0.009061045944690704, 0.015486566349864006, -0.02646159753203392, 0.033114973455667496, -0.02116016298532486, 0.005882464814931154, -0.0690857321023941, 0.007568594068288803, -0.003814677707850933, -0.010823126882314682, 0.02915029041469097, 0.012600398622453213, -0.021372828632593155, 0.029408525675535202, 0.014590335078537464, -0.013390297070145607, 0.062280453741550446, -0.011180100962519646, 0.014438431710004807, -0.01636001095175743, -0.033388398587703705, 0.03888730704784393, -0.02839077264070511, -0.039312634617090225, 0.035120099782943726, 0.026051457971334457, -0.01792461797595024, 0.011742143891751766, 0.02456280216574669, 0.0014563752338290215, 0.0029070540331304073, -0.035818856209516525, 0.0275249220430851, 0.041317764669656754, 0.004484951961785555, 0.005028007086366415, -0.01323839370161295, 0.0003873540263157338, 0.01275230199098587, -0.04572296515107155, -8.188550418708473e-05, -0.008278743363916874, 0.0322035513818264, -0.05887781083583832, 0.01584353856742382, -0.014240956865251064, 0.0069951582700014114, -0.01022310834378004, 0.006417924538254738, 0.01923098787665367, 0.00792176928371191, -0.01127124298363924, -0.010777556337416172, 0.02018798142671585, -0.009744612500071526, -0.006653374992311001, -0.01602582447230816, 0.01602582447230816, -0.02673502266407013, 0.011514288373291492, 0.004579891916364431, 0.020415835082530975, -0.012995348311960697, -0.0016813823021948338, -0.009805373847484589, -0.00036077090771868825, -0.01827399618923664, 0.0027969239745289087, 0.003070350270718336, 0.01828918606042862, -0.013648533262312412, 0.003320991061627865, -0.009539542719721794, -0.02699325978755951, 0.03603151813149452, 0.026355264708399773, -0.019382892176508904, 0.021570302546024323, -0.008316718973219395, -0.024669134989380836, 0.01271432638168335, 0.039130352437496185, -0.005605240818113089, -0.03551504760980606, 0.0018370834877714515, 0.0001732649834593758, 0.025702079758048058, 0.010352225974202156, 0.018258806318044662, -0.008461027406156063, -0.002624133601784706, 0.008400266058743, 0.0012892812956124544, -0.005757144186645746, -0.005077376030385494, -0.0036342921666800976, 0.010443368926644325, -0.013830817304551601, -0.031292129307985306, 0.006797683425247669, 0.00988132506608963, -0.016663817688822746, 0.026598310098052025, -0.002910851500928402, -0.016496725380420685, -0.01913984678685665, -0.01593468151986599, -0.017438527196645737, -0.007093895226716995, -0.027874300256371498, 0.028405962511897087, 0.0023583024740219116, 0.02081078477203846, -0.01214468851685524, -0.008134434930980206, 0.023985568434000015, 0.02281591109931469, 0.018395518884062767, 0.019079085439443588, -0.020066456869244576, -0.050614260137081146, -0.012091522105038166, -0.006638184655457735, -0.0011829488212242723, 0.007397702429443598, 0.01698281615972519, -0.0028197094798088074, 0.0017298015300184488, -0.020506978034973145, 0.004435583483427763, 0.0005658406880684197, 0.009919301606714725, 0.012349758297204971, 0.030365517362952232, 0.026233742013573647, 0.04630019888281822, 0.03414791449904442, 0.011347194202244282, 0.029028765857219696, -0.0015256812330335379, 0.0027494539972394705, 0.0026962878182530403, -0.02627931348979473, 0.026005886495113373, 0.02027912251651287, 0.011248457245528698, -0.02561093680560589, 0.008278743363916874, 0.016253678128123283, 0.07868603616952896, -0.001408905372954905, 0.03284154459834099, -0.004644450731575489, -0.011164910160005093, -0.011233266443014145, 0.024577993899583817, -0.02395518869161606, 0.013846008107066154, -0.03505933657288551, -0.004386214539408684, 0.028861673548817635, 0.013982720673084259, -0.05587012320756912, 0.01092945970594883, -0.009911705739796162, 0.01775752380490303, -0.00600398750975728, -0.035484667867422104, -0.0010338934371247888, 0.00200322805903852, 0.020127220079302788, -0.01231937762349844, -0.055930882692337036, 0.015038450248539448, -0.02673502266407013, 0.008992689661681652, -0.05103959143161774, 0.008719263598322868, -0.008514193817973137, -0.013709294609725475, 0.00500522181391716, -0.01453716866672039, -0.045297637581825256, -0.013040918856859207, 0.0412873812019825, 0.009463590569794178, -0.02254248596727848, 0.0054685273207724094, 0.007697712164372206, -0.012425709515810013, -0.02732744626700878, 0.023286812007427216, 0.022922243922948837, -0.0006603057263419032, 0.004731795284897089, 0.0024855216033756733, -0.003024779260158539, 0.01537263859063387, -0.03091237135231495, -0.012045950628817081, -0.021266495808959007, -0.024836229160428047, -0.03755055367946625, -0.017620811238884926, 0.027843918651342392, 0.0030399695970118046, -0.014127029106020927, 0.017803095281124115, 0.010595272295176983, -0.005001423880457878, 0.005407765973359346, 0.024274185299873352, 0.0004153612535446882, 0.012395328842103481, 0.015456185676157475, 0.032082028687000275, 0.008331908844411373, 0.024866608902812004, -0.033479541540145874, 0.008916737511754036, 0.008947118185460567, -0.006923004053533077, 0.011947213672101498, 0.015220735222101212, 0.009326877072453499, 0.013686508871614933, -0.02594512514770031, 0.007234406191855669, -0.013504224829375744, 0.038613881915807724, -0.014544764533638954, 0.03244659677147865, -0.0011525681475177407, -0.01838032901287079, -0.020856356248259544, -0.014954904094338417, 0.0023222253657877445, -0.009425614960491657, 0.01035982184112072, -0.006714136339724064, -0.0026279313024133444, 0.01626886986196041, -0.02037026546895504, -0.015949871391057968, -0.022314630448818207, 0.014430836774408817, -0.00010496772301848978, -0.018562613055109978, 0.04137852415442467, -0.012175069190561771, 0.010268679820001125, -0.028330011293292046, -0.0020241145975887775, 0.003621000563725829, -0.004329251125454903, -0.005065983161330223, 0.034087155014276505, -7.624845602549613e-05, -0.009326877072453499, -0.04611791670322418, -0.0033817526418715715, -0.007936960086226463, -0.0006455900729633868, 0.012137092649936676, -0.00012140415492467582, -0.03183898329734802, -0.01626886986196041, -0.011407955549657345, -0.02899838611483574, -0.01838032901287079, -0.007219215855002403, -4.57490750704892e-05, 0.004815342370420694, -0.022329820320010185, -0.009653470478951931, 0.016846103593707085, -0.005700180307030678, -0.008559764362871647, -0.020431026816368103, -0.019291749224066734, 0.009714231826364994, -0.0012645969400182366, -0.020142409950494766, -0.002806417876854539, -0.01898794248700142, 0.026233742013573647, -0.02134244702756405, -0.010435773059725761, 0.040163297206163406, 0.01838032901287079, -0.0038716415874660015, -0.006736922077834606, 0.007219215855002403, 0.0035735308192670345, -0.02489699050784111, -0.0037842970341444016, -0.034087155014276505, 0.008536978624761105, 0.009592708200216293, -0.0002598974679131061, -0.03039589896798134, -0.0035811259876936674, 0.01219025906175375, 0.004606474656611681, 0.01323079876601696, -0.03998101130127907, 0.04469002038240433, -0.010769961401820183, 0.0019633532501757145, -0.0002748504630289972, 0.004454571288079023, 0.02664388157427311, -0.0019177822396159172, 0.012387733906507492, 0.0025671699550002813, -0.023013386875391006, -0.020598120987415314, -0.005992594640702009, 0.0157523974776268, 0.0038203741423785686, 0.013671319000422955, -0.005859679076820612, -0.013678913936018944, -0.004496344830840826, -0.021722206845879555, -0.0014782113721594214, 0.004564701579511166, 0.006919206120073795, -0.03250735625624657, 0.039555683732032776, -0.026188170537352562, -0.06938953697681427, 0.007678723894059658, 0.02097787894308567, 0.010975031182169914, -0.0006498623406514525, -0.027813538908958435, 0.011749738827347755, -0.010207917541265488, 0.01358777191489935, -0.007576189003884792, -0.009630684740841389, 0.012782682664692402, 0.044811543077230453, 0.010131966322660446, 0.003269723616540432, 0.009402829222381115, -0.012600398622453213, -0.03518085926771164, 0.015205544419586658, -0.014757429249584675, 0.01705876737833023, 0.014240956865251064, 0.022952625527977943, -0.004268489312380552, -0.001107946503907442, 0.03755055367946625, -0.016603056341409683, 0.0009769296739250422, -0.010542105883359909, 0.028603436425328255, 0.011149720288813114, -0.01792461797595024, -0.009197759442031384, 0.02412228286266327, 0.00500522181391716, 0.0014297920279204845, -0.004929270129650831, -0.015691636130213737, -0.011461121961474419, -0.015691636130213737, 0.012068736366927624, 0.007185037713497877, -0.0030304756946861744, 0.014476407319307327, 0.0034159307833760977, 0.05626507103443146, 0.0014782113721594214, 0.025793220847845078, -0.008833191357553005, 0.029271813109517097, -0.012630779296159744, 0.013291560113430023, 0.020005695521831512, 0.010853508487343788, 0.027221115306019783, -0.019079085439443588, 0.015858730301260948, 0.019276559352874756, -0.0007253393996506929, -0.011468717828392982, 0.015813158825039864, 0.032264310866594315, 0.04241146892309189, 0.03864426165819168, -0.019428463652729988, 0.04271527752280235, -0.0178486667573452, 0.0076141650788486, -0.008020507171750069, 0.00018252160225529224, -0.021965252235531807, -0.00827114749699831, -0.003489983966574073, -0.0001274565584026277, 0.005100161302834749, 0.011407955549657345, 0.00624703336507082, 0.007496439851820469, 0.02410709112882614, 0.019215798005461693, -0.019428463652729988, -0.016299249604344368, -0.01705876737833023, 0.0013680813135579228, 0.02986423671245575, -0.009410424157977104, 0.009592708200216293, -0.007196430116891861, 0.01201556995511055, 0.01541820913553238, -0.023028576746582985, 0.013656128197908401, -0.0010490837739780545, 0.011537074111402035, 0.028330011293292046, 0.020871546119451523, -0.02778315730392933, -0.007750878110527992, -0.011787714436650276, -0.02202601358294487, -0.003393145278096199, -0.027828728780150414, -0.013694103807210922, 0.0005321371136233211, -0.039494920521974564, 0.008453432470560074, 0.008954714052379131, -0.02175258658826351, 0.00085967913037166, -0.016511915251612663, 0.0049748411402106285, 0.029757903888821602, 0.014689072035253048, 0.012121902778744698, 0.011073768138885498, 0.021281685680150986, -0.007758473511785269, 0.030152853578329086, -0.028861673548817635, 0.027737585827708244, 0.009030665270984173, 0.04830532521009445, 0.04189499840140343, -0.010731984861195087, 0.006212854757905006, 0.003949492238461971, -0.021433589980006218, 0.020415835082530975, -0.0033342826645821333, -0.006193866953253746, -0.009083831682801247, -0.033996012061834335, 0.009752207435667515, 0.019717080518603325, -0.026947688311338425, 0.012091522105038166, 0.007929365150630474, -0.014119434170424938, 0.009623088873922825, -0.007488844450563192, -0.018182853236794472, 0.02662869170308113, -0.034087155014276505, 1.7727024896885268e-06, -0.0016813823021948338, 0.008757239207625389, 0.010215513408184052, -0.013496629893779755, -0.022481724619865417, -0.03341877833008766, -0.007678723894059658, -0.014453621581196785, 0.014939713291823864, -0.0037368270568549633, 0.010154752060770988, -0.01681572198867798, -0.032598499208688736, 0.010162346996366978, -0.0094484006986022, -0.002876673359423876, 0.01882084831595421, -0.008400266058743, 0.023529859259724617, -0.039221495389938354, 0.0031159212812781334, 0.03797588497400284, -0.000209816760616377, 0.0016424570931121707, -0.02236020192503929, -0.01838032901287079, -0.004241906572133303, -0.014240956865251064, -0.0061027249321341515, -0.0022690591868013144, -0.018592992797493935, 0.012000380083918571, -0.025383081287145615, -0.008529383689165115, -0.029469287022948265, -0.043657079339027405, -0.01005601417273283, 0.006000190041959286, 0.02456280216574669, -0.01838032901287079, 0.021919680759310722, -0.018304375931620598, 0.01257761288434267, 0.014795404858887196, 0.0023545047733932734, -0.005187505856156349, 0.015349852852523327, 0.010823126882314682, 0.020962689071893692, 0.006915408652275801, 0.00277413846924901, 0.038705021142959595, 0.03527200222015381, -0.03524162247776985, 0.01757523976266384, -0.010488939471542835, 0.017803095281124115, 0.01687648333609104, -0.004872306250035763, -0.04074053093791008, 0.004982436075806618, -0.06264501810073853, -0.01836513727903366, -0.012691540643572807, 0.014370075426995754, 0.008453432470560074, -0.008643311448395252, -0.006592613644897938, 0.023712143301963806, 0.00448115449398756, -0.029879426583647728, -0.01035982184112072, -0.006505269091576338, 0.012243425473570824, -0.015965061262249947, -0.0006550840334966779, 0.004652046132832766, -0.013519415631890297, 0.03323649615049362, 0.0034254249185323715, 0.0174992885440588, -0.006858444772660732, 0.007428083103150129, 0.029226241633296013, -0.024502040818333626, 0.01882084831595421, 0.003157694824039936, 0.03314535319805145, -0.016162537038326263, -0.009949682280421257, -0.008780024945735931, -0.00687743304297328, 0.0018978448351845145, 0.012152283452451229, -0.003020981792360544, -0.007936960086226463, -0.0016899269539862871, 0.021099401637911797, -0.0005853033508174121, 0.028846481814980507, -0.011187695898115635, -0.028193296864628792, -0.021433589980006218, 0.03797588497400284, -0.005202696193009615, -0.00019106616673525423, 0.00047090096632018685, 0.02046140655875206, 0.01376246102154255, 0.0012864330783486366, -0.015509351156651974, 0.03448210284113884, 0.0009873730596154928, -0.03089717961847782, -0.01932213082909584, 0.03335801884531975, -0.02829962968826294, 0.00448115449398756, -0.018425898626446724, -0.0054191588424146175, 0.02204120345413685, -0.011081363074481487, -0.012076331302523613, -0.002903256332501769, -0.0012494066031649709, 0.02281591109931469, 0.024623563513159752, 0.023985568434000015, -0.0017649292713031173, 0.017119528725743294, -0.0025918541941791773, 0.010549700818955898, 0.023970378562808037, 0.0015807462623342872, 0.0002632203686516732, -0.027570493519306183, 0.01992974430322647, 0.0029089527670294046, 0.006596411112695932, 0.0006773948553018272, -0.0038526535499840975, 0.010086394846439362, 0.005905250087380409, 0.005134339910000563, -0.0005159973516128957, 0.01070920005440712, -0.017377765849232674, -0.01288142055273056, 0.010762365534901619, 0.011575049720704556, -0.03718598559498787, 0.03882654383778572, -0.003734928322955966, -0.0017468907171860337, 0.011499098502099514, -0.005833095870912075, -0.008468622341752052, 0.006417924538254738, -0.006797683425247669, 0.022846292704343796, 0.022071585059165955, 0.011726953089237213, -0.004446976352483034, -0.01882084831595421, -0.01698281615972519, 0.08925852179527283, -0.00021812399791087955, 0.011377574875950813, 0.01362574752420187, -0.002124750753864646, -0.00016377100837416947, -0.011400360614061356, 0.011149720288813114, 0.01058008149266243, -0.01958036608994007, 0.0257780309766531, 0.014810595661401749, -0.008985094726085663, 0.0010661729611456394, 0.027373017743229866, -0.029028765857219696, -0.013944745063781738, 0.037216369062662125, -0.002675401046872139, 0.019398082047700882, 0.012152283452451229, 0.014977688901126385, -0.00391911156475544, -0.01345865335315466, 0.0028216082137078047, -0.015076426789164543, 0.03776321932673454, 0.011537074111402035, -0.0031538973562419415, -0.012304186820983887, -0.017271433025598526, -0.019018324092030525, -0.008362289518117905, -0.007644545752555132, -0.022420963272452354, -0.00122946931514889, -0.018957562744617462, 0.004439380951225758, 0.012615589424967766, 0.009342067874968052, -0.0181980449706316, 0.028770530596375465, 0.0033475742675364017, -0.02515522576868534, -0.005020412150770426, -0.013162441551685333, -0.01414221990853548, 0.020947499200701714, 0.013732080347836018, -0.005760941654443741, -0.007010348606854677, -0.02114497311413288, -0.0006152093410491943, -0.024699516594409943, -0.018592992797493935, 0.003148200921714306, -0.012607993558049202, -0.004184942692518234, 0.02270958013832569, 0.017301812767982483, -0.014043482020497322, -0.00896990392357111, -0.008559764362871647, -0.021995631977915764, -0.009174973703920841, -0.009524351917207241, -0.013428272679448128, -0.008635716512799263, -0.0040824078023433685, 0.026431215927004814, -0.03284154459834099, -0.004086205270141363, 0.011514288373291492, -0.012213044799864292, 0.007485046982765198, 0.027388207614421844, 0.0049102818593382835, 0.01602582447230816, 0.007150859106332064, 0.017438527196645737, -0.00228424952365458, 0.00759517727419734, -0.011369979940354824, -0.004302667919546366, -0.0073901074938476086, -0.025033703073859215, 0.004720402415841818, 0.007371119223535061, -0.01967150904238224, 0.001319661969318986, -0.03177822008728981, 0.018699325621128082, -0.030076900497078896, 0.011901642195880413, -0.008088863454759121, -0.011780119501054287, 0.0382796935737133, -0.010982626117765903, 0.008088863454759121, 0.008802809752523899, 0.029013575986027718, -0.00255577708594501, 0.01775752380490303, -0.028330011293292046, -0.001745941350236535, -0.021312067285180092, -0.009425614960491657, 0.03083641827106476, -0.017362574115395546, 0.003930503968149424, -0.024243805557489395, -0.007211620453745127, 0.002403873484581709, 0.02204120345413685, 0.02166144549846649, 0.013109276071190834, 0.021129783242940903, -0.021388018503785133, -0.02097787894308567, 0.02125130593776703, -0.010124371387064457, 0.027129972353577614, 0.008529383689165115, -0.0078002470545470715, 0.02421342395246029, 0.020339883863925934, 0.005612835753709078, -0.010526915080845356, 0.008430646732449532, 0.014119434170424938, -0.025048894807696342, -0.0014620715519413352, 0.014871357008814812, -0.0010709199123084545, 0.009964872151613235, -0.01375486608594656, 0.018046140670776367, -0.026081837713718414, 0.006292604375630617, 0.028254058212041855, -0.008681287057697773, -0.006535649765282869, 0.021813347935676575, 0.011233266443014145, -0.0028216082137078047, 0.005795120261609554, -0.03666951507329941, 0.010428178124129772, 0.004834330175071955, 0.0018304376862943172, -0.0008891104371286929, -0.03232507407665253, -0.020506978034973145, -0.022527296096086502, 0.009919301606714725, 0.012866229750216007, -0.007378714624792337, -0.005939428694546223, 0.012129497714340687, -0.014909332618117332, 0.005126744508743286, -0.017711952328681946, 0.0015019462443888187, -0.00339504424482584, 0.020506978034973145, 0.02184372954070568, 0.012152283452451229, -0.012395328842103481, -0.0033456755336374044, -0.00840786099433899, 0.0066078039817512035, -0.024441279470920563, -0.014073862694203854, 0.0019244280410930514, 0.03587961569428444, 0.006387543864548206, 0.008362289518117905, -0.012509256601333618, 0.02236020192503929, -0.009790183044970036, -0.03423905745148659, -0.01593468151986599, -0.009228140115737915, 0.011909238062798977, 0.02854267507791519, 0.016572676599025726, -0.0039001235272735357, 0.009699041023850441, 0.012463685125112534, -0.00021171556727495044, -0.0019671509508043528, 0.025459034368395805, -0.006596411112695932, -0.014392860233783722, 0.0011364283272996545, -0.00900787953287363, -0.006448305211961269, -0.02360581047832966, 0.02401595003902912, -0.0031975696329027414, -0.01127883791923523, -0.010162346996366978, 0.0069040157832205296, 0.008878761902451515, -0.019960125908255577, -0.003357068169862032, -0.02778315730392933, 0.0020677868742495775, -0.0024171650875359774, -0.015000474639236927, 0.03153517469763756, 0.005791322328150272, -0.004891294054687023, -0.03575809299945831, 0.03335801884531975, -0.00223108334466815, -0.0022861482575535774, 0.0013899174518883228, 0.008726858533918858, 0.011286432854831219, 0.0036779644433408976, -0.007238203659653664, 0.019868982955813408, 0.001202886109240353, -0.036608751863241196, 0.0026735023129731417, 0.004993828944861889, -0.022588057443499565, -0.006543245166540146, -0.007990126498043537, 0.02517041750252247, 0.005331814289093018, 0.020522167906165123, -0.007731890305876732, -0.019261369481682777, -0.01079274620860815, -0.00421912083402276, 0.025383081287145615, -0.010093990713357925, 0.04222918301820755, -0.006660970393568277, 0.0013832716504111886, -0.00664198212325573, 0.006193866953253746, -0.02646159753203392, -8.930266631068662e-05, -0.006368556059896946, -0.007553403731435537, -0.015091616660356522, -0.005647014360874891, -0.029104718938469887, 0.013291560113430023, -0.035302381962537766, -0.007602772209793329, -0.006577423308044672, -0.019382892176508904, -0.01566125452518463, -0.015152378007769585, -0.0064862812869250774, -0.012737112119793892, -0.019443653523921967, 0.016056204214692116, 0.0001465631794417277, -0.010314250364899635, 0.004503939766436815, 0.011324409395456314, -0.03515047952532768, -0.010207917541265488, 0.024137472733855247, 0.002639323938637972, -0.02237539179623127, -0.02515522576868534, -0.009501566179096699, -0.01109655387699604, 0.006520459428429604, -0.001006360980682075, -0.00272097229026258, 0.0031444032210856676, -0.001634861808270216, 0.0027589481323957443, 0.004841925576329231, 0.011294028721749783, 0.012737112119793892, 0.01053451094776392, 0.01619291678071022, 0.014590335078537464, -0.021266495808959007, 0.019443653523921967, 0.030426278710365295, 0.014172600582242012, 0.000182165575097315, 0.017286622896790504, 0.007686319295316935, 0.028147725388407707, -0.0031425044871866703, -0.008818000555038452, -0.03414791449904442, 0.010147156193852425, -0.01637520082294941, -0.005369790364056826, -0.0017791702412068844, 0.026947688311338425, 0.042168423533439636, -0.009418019093573093, -0.02229944057762623, -0.018577802926301956, 0.00013884932559449226, 0.021129783242940903, -0.017894236370921135, -0.008901547640562057, -0.009539542719721794, -0.003169087693095207, -0.0014582739677280188, 0.006041963584721088, 0.009828158654272556, -0.01888160966336727, -0.017833475023508072, 0.020613310858607292, -0.023803284391760826, -0.013025728985667229, -0.002684895182028413, -0.019990505650639534, -0.01906389370560646, -0.0012266210978850722, -0.012683945707976818, 0.006049558520317078, -0.0031823792960494757, 0.001622519688680768, -0.02924143150448799, -0.020704451948404312, -0.03275040164589882, -0.009197759442031384, 0.0009256622288376093, -0.024577993899583817, 0.010101585648953915, 0.017651190981268883, 0.019170226529240608, -0.0074128927662968636, -0.03247697651386261, 0.017438527196645737, -0.01057248655706644, -0.015494161285459995, -0.03100351244211197, -0.02038545534014702, -0.007424285635352135, 0.015873920172452927, -0.010861103422939777, -0.010845912620425224, 0.014863761141896248, 0.013359916396439075, -0.028178106993436813, 0.017043577507138252, -0.03545428812503815, 0.0034406152553856373, 0.006455900613218546, 0.014438431710004807, 0.011020601727068424, -0.007891388610005379, 0.02447166107594967, 0.021114591509103775, 0.007526820525527, 0.012220639735460281, -0.03305421024560928, -0.007424285635352135, -0.01363334245979786, 0.01983860321342945, -0.006524256896227598, 0.0060381656512618065, 0.004473559092730284, -0.016694199293851852, 0.0008981297141872346, -0.0038089812733232975, -0.0017155606765300035, -0.007260989397764206, 0.011871261522173882, 0.0055672647431492805, -0.00826355256140232, 0.04125700145959854, -0.0012361151166260242, -0.017651190981268883, -0.017636001110076904, 0.014461217448115349, 0.01200797501951456, -0.005768537055701017, -0.026659071445465088, -0.03475553169846535, -0.012509256601333618, -0.011195290833711624, 0.03193012252449989, 0.015509351156651974, 0.02097787894308567, -0.011195290833711624, -0.02559574693441391, -0.021220924332737923, -0.0161017756909132, 0.024608373641967773, 0.02942371554672718, 0.0014013102045282722, -0.006566030438989401, 0.04839646816253662, -0.023180481046438217, -0.012805468402802944, 0.003148200921714306, 0.0069305989891290665, -4.082407758687623e-05, 0.006497674155980349, -0.0042001330293715, 0.007067312486469746, -0.02079559490084648, 0.01201556995511055, 0.009980062954127789, -0.03551504760980606, -0.023529859259724617, 0.0012085825437679887, -0.0011041489196941257, -0.012554828077554703, -0.01740814559161663, -0.0017991075292229652, 0.015600494109094143, -0.0089243333786726, 0.0054457420483231544, 0.02523117884993553, 0.024395707994699478, -0.0017544858856126666, 0.007306560408324003, -0.026355264708399773, 0.013739675283432007, -0.012858634814620018, -0.009630684740841389, 0.0001252017536899075, 0.0020943700801581144, 0.01096743531525135, 0.010139561258256435, -0.00827114749699831, 0.012851039879024029, -0.013291560113430023, -0.012509256601333618, 0.004697617143392563, 0.011073768138885498, 0.015114402398467064, -0.010147156193852425, -0.012129497714340687, -0.00840786099433899, 0.005290040746331215, -0.015114402398467064, -0.0012313680490478873, 0.003875439055263996, 0.016162537038326263, 0.0040254439227283, 0.001309218700043857, -0.0060381656512618065, -0.00448115449398756, 0.0032070635352283716, 0.01379284169524908, 0.017392955720424652, -4.346458808868192e-05, -0.021281685680150986, -0.0012664957903325558, 0.006763505283743143, -0.019185416400432587, 0.02037026546895504, -0.0016823316691443324, -0.008704072795808315, 0.018137283623218536, -0.011081363074481487, 0.0040444317273795605, 0.03256811946630478, -0.008886356838047504, 0.010853508487343788, -0.006000190041959286, 0.009645874612033367, 0.01180290523916483, 0.00502420961856842, 0.00598499970510602, -0.004781163763254881, 0.0015275799669325352, -0.005738156381994486, -0.013823222368955612, 0.008468622341752052, -0.012266211211681366, 0.010040824301540852, -0.005290040746331215, -0.017347384244203568, -0.00592423789203167, 0.019428463652729988, 0.03177822008728981, 0.007473654113709927, 0.0058027151972055435, 0.028679389506578445, -0.018243614584207535, -0.004371024202555418, 0.01602582447230816, 0.01502326037734747, -0.014218171127140522, 0.00858255010098219, -0.02239058166742325, -0.0044052028097212315, 0.010352225974202156, -0.007272382266819477, -0.011028196662664413, 0.0007091996376402676, -0.014172600582242012, -0.0007509731221944094, 0.025124846026301384, -0.002405772218480706, -0.004484951961785555, 0.009524351917207241, 0.0029754105489701033, -0.002367796376347542, -0.0010243995347991586, 0.002379189245402813, 0.00827114749699831, -0.03065413422882557, 0.016906864941120148, 0.01628405973315239, 0.010769961401820183, -0.022253869101405144, -0.01184088084846735, 0.011377574875950813, -0.0087496442720294, 0.012159878388047218, 0.006019177846610546, 0.023894427344202995, 0.01001044362783432, 0.017089148983359337, 0.007553403731435537, -0.0028292033821344376, 0.008567359298467636, 0.006600209046155214, 0.032264310866594315, -0.01661824807524681, 0.005028007086366415, 0.0022462736815214157, -0.006345770321786404, -0.010694009251892567, -0.013527010567486286, 0.011134529486298561, 0.004090002737939358, 0.002563372254371643, 0.0071166809648275375, 0.004424190614372492, -0.0027228710241615772, -0.011901642195880413, 0.01253963727504015, 0.005806512665003538, 0.009205354377627373, -0.000719168339855969, 0.002172220731154084, 0.017377765849232674, -0.022086774930357933, 0.01061805710196495, 0.0010557295754551888, 0.0025481819175183773, -0.002544384216889739, -0.012106711976230145, 0.008020507171750069, 0.01288142055273056, -0.011856071650981903, 0.016679009422659874, 0.007997721433639526, -0.014924522489309311, -0.008043292909860611, 0.051677584648132324, -0.01593468151986599, -0.0032678248826414347, -0.006436912342905998, 0.004268489312380552, -0.011407955549657345, -0.008514193817973137, -0.006919206120073795, -0.0014326402451843023, 0.012380138970911503, 6.770388426957652e-05, -0.03232507407665253, -0.008977498859167099, 0.008780024945735931, -0.013253583572804928, -0.006436912342905998, -0.003717839252203703, -0.0044014048762619495, 0.010823126882314682, -0.01950441487133503, -0.014628310687839985, 0.012463685125112534, 0.006960979662835598, 0.021296877413988113, 0.004667236469686031, 0.00827114749699831, -0.014066267758607864, -0.015949871391057968, -0.007006550673395395, 0.007868603803217411, -0.01593468151986599, -0.026172980666160583, 0.008855976164340973, -0.000833095982670784, -0.0031273141503334045, -0.018243614584207535, -0.01345865335315466, 0.007568594068288803, 0.008772429078817368, -0.0015028956113383174, -0.0010111079318448901, 0.001840881071984768, 0.007185037713497877, -0.004902686923742294, 0.0018836038652807474, 0.011149720288813114, -0.020613310858607292, -0.014658691361546516, -0.021281685680150986, -0.0030152853578329086, 0.016998006030917168, 0.017089148983359337, 0.0008340454078279436, -0.01257761288434267, 0.0026962878182530403, 0.0023469096049666405, -0.0004457419563550502, 0.02160068415105343, 0.0036760657094419003, 0.00949397124350071, 0.005939428694546223, 0.019003132358193398, -0.03135289251804352, -0.011757333762943745, 0.009023070335388184, 0.016344821080565453, -0.007504034787416458, 0.002474128967151046, -0.0008796164183877409, -0.007777461316436529, -0.009212949313223362, -0.0036779644433408976, -0.011187695898115635, 0.0031633912585675716, -0.008164815604686737, -0.010595272295176983, 0.005472325254231691, 0.010610462166368961, 0.004690021742135286, -0.011711763218045235, 0.0012769391760230064, -0.006216652225703001, -0.01803095079958439, 0.005282445810735226, -0.009774993173778057, -0.012235830537974834, -0.0011867464054375887, -0.01844109036028385, -0.009402829222381115, -0.006167283747345209, -0.0010177537333220243, -0.001499098027125001, 0.003470995929092169, -0.013170037418603897, -0.002641222905367613, 0.0003273046750109643, 0.013185227289795876, -0.005848286207765341, -0.00753441546112299, -0.013739675283432007, 0.007671128958463669, 0.017195479944348335, 0.0215854924172163, 0.013595366850495338, 0.005658406764268875, 0.003121617715805769, 0.019625937566161156, 0.021524731069803238, 0.011468717828392982, -0.009630684740841389, -0.017879046499729156, -0.008491408079862595, -0.005100161302834749, 0.002193107269704342, 0.03560619056224823, 0.0027095794212073088, -0.0016851798864081502, 0.026081837713718414, -0.02517041750252247, -0.005138137377798557, 0.02169182524085045, -0.013185227289795876, -0.01436247956007719, -0.011020601727068424, 0.011688977479934692, -0.025140035897493362, 0.015137188136577606, 0.02071964368224144, -0.013375107198953629, -0.005821703001856804, 0.001578847412019968, 0.024076711386442184, 0.009243330918252468, -0.01950441487133503, 0.004811544436961412, -0.011932022869586945, 0.0031026299111545086, -0.010671223513782024, 0.016830911859869957, -0.0032735213171690702, 0.010458558797836304, -0.004686224274337292, 0.021388018503785133, 0.01898794248700142, 0.005126744508743286, -0.008172410540282726, 0.013504224829375744, 0.010337036103010178, -0.0034652994945645332, -0.0006337225786410272, 0.010602867230772972, 0.009714231826364994, -0.010678819380700588, -0.006026772782206535, -0.011438336223363876, 0.015152378007769585, 0.006395139265805483, -0.0017089148750528693, 0.014453621581196785, 0.007967340759932995, -0.013511819764971733, -0.004086205270141363, -0.009600304067134857, -0.010777556337416172, -0.00014217222633305937, -0.012448495253920555, -0.005282445810735226, -0.006979967933148146, 0.016329631209373474, -0.0013234595535323024, -0.03697332367300987, -0.016694199293851852, -3.245751577196643e-05, 0.00021824266877956688, -0.020051266998052597, -2.18509685510071e-05, 0.0002836323983501643, 0.01200797501951456, -0.014058672823011875, -0.017742333933711052, -0.012038355693221092, 0.00391911156475544, 0.0072647868655622005, 0.01740814559161663, -0.009061045944690704, -0.007576189003884792, -0.0011554163647815585, 0.013656128197908401, 0.022496914491057396, -0.031033894047141075, 0.008301528170704842, 0.0011411753948777914, 0.03457324579358101, -0.00792176928371191, 0.012311781756579876, 0.009364853613078594, -0.01872970722615719, 0.0009209152194671333, 0.02229944057762623, 0.00762176001444459, 0.017256243154406548, -0.006828064098954201, -0.010937054641544819, 0.0038336655125021935, 0.005612835753709078, 0.008430646732449532, -0.02038545534014702, 0.010283869691193104, 0.011696572415530682, 0.017089148983359337, -0.00379758863709867, 0.009463590569794178, -0.004834330175071955, -0.011810500174760818, -0.022739959880709648, -0.01235735323280096, -0.002682996215298772, -0.011810500174760818, -0.011985189281404018, -0.03265926241874695, -0.009524351917207241, -0.00552928913384676, -0.005498907994478941, 0.002538688015192747, 0.03463400900363922, 0.020309504121541977, 0.009873730130493641, 0.004777366295456886, -0.004314060788601637, 0.012030760757625103, 0.02559574693441391, 0.0022899459581822157, -0.020233551040291786, -0.029727522283792496, 0.0019633532501757145, -0.0011734548024833202, 0.003332383930683136, -0.0019633532501757145, -0.01271432638168335, -0.00788379367440939, 0.008734453469514847, 0.00019616918871179223, 0.00029241430456750095, 0.0010690211784094572, -0.020157599821686745, -0.018182853236794472, 0.019990505650639534, 0.01567644625902176, 0.011483907699584961, -0.004371024202555418, -0.016830911859869957, -0.0023393144365400076, -0.030927561223506927, -0.01053451094776392, -0.014757429249584675, 0.013094085268676281, -0.008157219737768173, -0.02011202834546566, 0.0075609986670315266, -0.009699041023850441, -0.0025045096408575773, 0.0031595935579389334, -0.0017117629759013653, 0.005191303323954344, 0.013306749984622002, 0.015782777220010757, 0.01219025906175375, -0.004014051053673029, -0.008248362690210342, 0.0062242476269602776, 0.013329535722732544, 0.014446026645600796, -0.010261083953082561, -0.006885027978569269, -0.008499003015458584, 0.003005791222676635, -0.00201272196136415, -0.011210481636226177, 0.016557486727833748, -0.012418114580214024, 0.013694103807210922, 0.00672932667657733, 0.0090990224853158, -0.004796354100108147, -0.021266495808959007, -0.01305610965937376, 0.0005330864805728197, 0.003987467847764492, -0.003070350270718336, 0.015327067114412785, -0.02524636872112751, -0.035909995436668396, 0.009569923393428326, -0.018258806318044662, 0.005734358914196491, -0.045996394008398056, -0.01541061419993639, 0.01202316489070654, 0.032780785113573074, -0.008893952704966068, 0.011066173203289509, 0.013808031566441059, 0.01467388216406107, -0.010139561258256435, -0.025140035897493362, -1.90324462892022e-05, 0.021782968193292618, -0.0075002373196184635, 0.007454666309058666, 0.001183898188173771, 0.0012883319286629558, -0.004450773820281029, 0.00017468907753936946, -0.005624228622764349, -0.018866419792175293, 0.020750023424625397, -0.006774898152798414, -0.008468622341752052, -0.005191303323954344, -0.020780405029654503, 0.0040254439227283, -0.013640938326716423, 0.020066456869244576, 0.0027057817205786705, 0.0025481819175183773, 0.003041868330910802, -0.007659736089408398, 0.027054021134972572, -0.024274185299873352, 0.0016054305015131831, -0.0015038450947031379, 0.012106711976230145, -0.005020412150770426, 0.00918256863951683, 0.004967245738953352, -0.01941327191889286, 0.006786290556192398, 0.010640842840075493, 0.003960884641855955, -0.012076331302523613, 0.0035545427817851305, 0.01144593209028244, 0.030243994668126106, 0.008802809752523899, -0.010466153733432293, 0.01058008149266243, -0.027281876653432846, -0.003262128448113799, 0.019443653523921967, 0.0035127694718539715, 0.006649577524513006, -0.02592993527650833, 0.008331908844411373, 0.02726668491959572, -0.009304092265665531, -0.020522167906165123, 0.026856545358896255, -0.003953289706259966, -0.01074717566370964, 0.01897275261580944, -0.021448779851198196, 0.0048874965868890285, 0.020947499200701714, -0.002352606039494276, 0.011924427933990955, -0.0002855311904568225, 0.005255862604826689, 0.002405772218480706, -0.0005995442625135183, -0.002310832729563117, -0.01235735323280096, -0.007340738549828529, -0.014947308227419853, 0.007823032326996326, -0.015266305766999722, -0.0003391721402294934, -0.004735592752695084, -0.01236494816839695, -0.01453716866672039, -0.0064217220060527325, 0.01626886986196041, 0.018258806318044662, 0.004876103717833757, -0.006520459428429604, -0.00391911156475544, 0.00948637630790472, -0.00517991092056036, -0.0008554068044759333, -0.004731795284897089, -0.004090002737939358, 0.0019462641794234514, 0.0027494539972394705, -0.0036266969982534647, 0.016162537038326263, -0.003227950306609273, 0.012220639735460281, -0.00014668185031041503, 0.003191873198375106, 0.0014487800654023886, 0.003829868044704199, 0.018957562744617462, 0.007188835181295872, 0.0037501186598092318, 0.011073768138885498, 0.010040824301540852, -0.008931928314268589, -0.040862053632736206, -0.01127883791923523, -0.02384885586798191, 0.006360960658639669, -0.007014146074652672, 0.01179531030356884, -0.0017715750727802515, 0.000940852565690875, 0.016086585819721222, 0.006957182195037603, 0.018304375931620598, 0.0026545142754912376, -0.008073673583567142, -0.00589765515178442, 0.026613499969244003, -0.009805373847484589, 0.012425709515810013, -0.02185891941189766, 0.017742333933711052, 0.0171499103307724, -0.02778315730392933, -0.012152283452451229, -0.0025159025099128485, -0.010253489017486572, -0.002141839824616909, 0.01994493417441845, -0.01681572198867798, -0.0037767018657177687, -0.009121807292103767, 0.021023450419306755, -0.006000190041959286, -0.00448115449398756, 0.005305231083184481, -0.007944555021822453, -0.004819139838218689, 0.0023298205342143774, 0.003227950306609273, 0.009721826761960983, -0.01687648333609104, 0.007469856645911932, 0.006767302751541138, -0.008871166966855526, 0.002476027701050043, -0.018942371010780334, 0.006087534595280886, -0.019170226529240608, 0.014825785532593727, 0.007743283174932003, 0.007128073833882809, 0.011263648048043251, 0.0063989367336034775, -0.009045856073498726, 0.020248742774128914, 0.006793885957449675, 0.015889110043644905, 0.0004813443520106375, -0.010853508487343788, 0.0021285484544932842, 0.010944650508463383, -0.00913699809461832, -0.0034539068583399057, -0.0016073293518275023, -0.007090097758919001, 0.0041051930747926235, 0.0005345105892047286, -0.008536978624761105, -0.02471470646560192, 0.013656128197908401, -0.0047242003493011, 0.0016377100255340338, 0.009812968783080578, -0.011164910160005093, -0.011590240523219109, -0.0028443937189877033, 0.005096363835036755, 0.03594037890434265, 0.016056204214692116, 0.0039039209950715303, 0.012911801226437092, 0.004165954422205687, -0.004678628873080015, 0.013048513792455196, -0.017787905409932137, 0.000356498610926792, 0.014377670362591743, -0.009471185505390167, -0.0033361816313117743, -0.003700749948620796, 0.01958036608994007, -0.0013766258489340544, -0.027221115306019783, -0.010952245444059372, 0.005009019281715155, -0.01092945970594883, 0.007405297830700874, -0.017529668286442757, -0.011476312763988972, 0.012433304451406002, 0.021023450419306755, -0.007131871301680803, -0.001692775054834783, -0.00231842789798975, -0.01742333546280861, 0.0020772810094058514, 0.005783727392554283, -0.005335611756891012, 0.014392860233783722, 0.010245894081890583, 0.036608751863241196, 0.00528624327853322, -0.019033513963222504, 0.01341308280825615, 0.0036760657094419003, 0.005009019281715155, -0.01801575906574726, -0.007215418387204409, 0.006045761052519083, -0.00037073958083055913, -0.004777366295456886, -0.002088673645630479, 0.01880565844476223, 0.0004727997584268451, 0.02037026546895504, -0.006569828372448683, 0.0008805658435449004, 0.015722015872597694, 0.003767207730561495, -0.00809645839035511, -0.00044052026350982487, 0.011240862309932709, 0.0008473369525745511, -0.01793980784714222, 0.0002572866214904934, -0.0027418588288128376, -0.015030855312943459, -0.0012313680490478873, 0.006600209046155214, 0.0006560334004461765, 0.006152093410491943, 0.019398082047700882, 0.0073901074938476086, 0.011126934550702572, -0.02272477000951767, -0.004014051053673029, 0.0011164910392835736, 0.007511630188673735, 0.011681382544338703, 0.004895091522485018, 0.010800342075526714, -0.0018741099629551172, 0.008947118185460567, 0.015220735222101212, -0.0038431596476584673, -0.0036532802041620016, 0.016846103593707085, 0.006941991858184338, 0.019808221608400345, 0.0052330768667161465, -0.006482483819127083, -0.014278932474553585, -0.0060153803788125515, -0.022846292704343796, 0.014127029106020927, -0.023803284391760826, -0.0009550935355946422, 0.0013395993737503886, -0.01836513727903366, 0.0069078137166798115, 0.01792461797595024, -0.020522167906165123, 0.005962213966995478, 0.0014041583053767681, 0.02195006236433983, -0.009076236747205257, -0.0073521314188838005, -0.010610462166368961, 0.00519889872521162, 0.02011202834546566, -0.02088673785328865, -0.0028728756587952375, -7.945267134346068e-05, -0.000648912915494293, 0.017651190981268883, 0.01882084831595421, 0.025990696623921394, -0.0020848761778324842, 0.006566030438989401, 0.014506787993013859, 0.03350992128252983, -0.01619291678071022, 0.029909808188676834, -0.000627076777163893, 0.0008145827450789511, 0.0028026204090565443, -0.02925662137567997, 0.002639323938637972, -0.0012456090189516544, -0.021296877413988113, -0.008423051796853542, 0.008369885385036469, -0.007967340759932995, -9.212119039148092e-06, -0.009812968783080578, -0.022238679230213165, -0.006030570715665817, 0.006436912342905998, 0.013344726525247097, 0.0015968859661370516, -0.004295072518289089, 0.012000380083918571, -0.0073141553439199924, 0.005650811828672886, -0.014749834313988686, -0.0322035513818264, 0.012448495253920555, -0.014559954404830933, 0.010071204975247383, -0.00681667122989893, -0.028952814638614655, -0.0157523974776268, 0.005377385299652815, -0.006945789325982332, -0.011088958941400051, -0.014924522489309311, -0.016937244683504105, 0.0033817526418715715, 0.004359631799161434, 0.0035735308192670345, -0.0012579512549564242, 0.01344346348196268, -0.006239437963813543, 0.0045760939829051495, 0.013420677743852139, -0.01162062119692564, -0.003655178938060999, 0.008187600411474705, -0.010261083953082561, 0.0031007309444248676, 0.004921674728393555, -0.02071964368224144, 0.008073673583567142, -0.018486661836504936, 0.0014297920279204845, 0.002538688015192747, 0.02219310775399208, -0.012843444012105465, 0.009737016633152962, 0.006706541404128075, -0.0023374157026410103, 0.018091712146997452, 0.0006826165481470525, -0.0075002373196184635, -0.003619101829826832, 0.0027171745896339417, -0.015349852852523327, -0.005248267203569412, 0.0174992885440588, -0.03475553169846535, 0.012797873467206955, -0.006216652225703001, 0.01670938916504383, 0.021205734461545944, -0.013557391241192818, -0.0013747269986197352, -0.03082122839987278, -0.009433209896087646, 0.006774898152798414, 0.015737207606434822, 0.015706826001405716, 0.007302762940526009, -0.007162251975387335, -0.002536789048463106, 0.021433589980006218, 0.004302667919546366, -0.004671033937484026, 0.011286432854831219, -0.006174879148602486, -0.0005644165794365108, -0.010701604187488556, -0.0067824930883944035, 0.008992689661681652, -0.017438527196645737, 0.006068546324968338, -0.013990316540002823, -0.014385265298187733, -0.002001329092308879, 0.014134624972939491, 0.011939618736505508, 0.004803949501365423, 0.00047730939695611596, -0.011688977479934692, 0.008711667731404305, 0.011567454785108566, -0.005498907994478941, 0.0049748411402106285, -0.029484476894140244, -0.008673692122101784, 0.026689453050494194, -0.004659641068428755, -0.005347004625946283, 0.0003961359616369009, 0.0036494825035333633, 0.001312066800892353, 0.02855786494910717, 0.019306940957903862, 0.008552169427275658, 0.05304471775889397, 0.015889110043644905, -0.010633247904479504, -0.005081173498183489, 0.0002791227598208934, 0.0026564132422208786, 0.010944650508463383, 0.0059508210979402065, 0.021965252235531807, 0.012547232210636139, 0.007815437391400337, 0.004538118373602629, 0.017347384244203568, -0.015478970482945442, -0.018167663365602493, 0.0028235071804374456, 0.013116871006786823, -0.0019918351899832487, 0.007321750745177269, 0.014096648432314396, -0.01018513273447752, -0.009904110804200172, 0.016694199293851852, -0.010595272295176983, -0.01005601417273283, -0.008977498859167099, -0.00483053270727396, -0.014757429249584675, 0.010610462166368961, 0.011597835458815098, 0.0073141553439199924, 0.002544384216889739, -0.032082028687000275, 0.012782682664692402, -0.0062508308328688145, -0.006136903073638678, -0.011878857389092445, 0.01544858980923891, -0.005039399955421686, -0.007629355415701866, -0.004055824596434832, -0.009797777980566025, 0.005703977774828672, -0.008704072795808315, -0.002508307108655572, 0.00983575452119112, 0.005981201771646738, -0.002367796376347542, -0.007967340759932995, 0.007724294904619455, -0.008423051796853542, 0.01271432638168335, -0.009266115725040436, -0.018349947407841682, -0.0028728756587952375, 0.002962118946015835, -0.012213044799864292, -0.007074907422065735, -0.00228424952365458, -0.010952245444059372, 0.006053355988115072, -0.009053451009094715, 0.011514288373291492, 0.019352510571479797, 0.009258520789444447, -0.0039001235272735357, 0.0007324598846025765, -0.00792176928371191, 0.011180100962519646, -0.01558530330657959, -0.0054457420483231544, 0.008719263598322868, 0.0003204215317964554, -0.011673787608742714, 0.008590145036578178, 0.009387638419866562, -0.0019481629133224487, -0.03463400900363922, 0.016208108514547348, -0.020248742774128914, -0.0033893478102982044, -0.0012655464233830571, -0.0056546092964708805, 0.011947213672101498, 0.00826355256140232, 0.012167473323643208, 0.007355928886681795, 0.013344726525247097, -0.004260894376784563, -0.0051229470409452915, 0.01810690201818943, 0.0069040157832205296, -0.004564701579511166, -0.005453336983919144, -0.0011601633159443736, 0.036699894815683365, 0.01023070327937603, 0.005422956310212612, -0.013352321460843086, 0.0025652709882706404, 0.0012380138505250216, -0.012592803686857224, 0.0031102250795811415, -0.005438146647065878, 0.008134434930980206, -0.014780214987695217, -0.01092945970594883, 0.013640938326716423, 0.0023924808483570814, 0.0001991360477404669, 0.004033038858324289, -0.0016130257863551378, -0.01271432638168335, -0.026932498440146446, -0.01663343794643879, 0.013732080347836018, -0.014932118356227875, 0.00509256636723876, -0.02760087326169014, 0.00949397124350071, -0.0026450203731656075, -0.019990505650639534, 0.005290040746331215, 0.004705212078988552, -0.007238203659653664, -0.01509921159595251, 0.01035982184112072, -0.01001044362783432, -0.0029792082495987415, -0.011050982400774956, -0.03168707713484764, -0.02088673785328865, 0.010033228434622288, 0.011742143891751766, -0.0007091996376402676, -0.03013766184449196, 0.008673692122101784, 0.0009432260412722826, -0.01733219437301159, 0.015691636130213737, -0.00421912083402276, -0.004226716235280037, -0.0038013861048966646, -0.005434349179267883, 0.008719263598322868, -0.00456849904730916, 0.01897275261580944, -0.0058900597505271435, 0.02743377909064293, 0.014871357008814812, -0.022223487496376038, 0.004116585943847895, 0.013777650892734528, 0.01992974430322647, -0.0050583877600729465, 0.0038963258266448975, 0.003560239216312766, -0.02009683847427368, -0.001692775054834783, -0.004496344830840826, 0.0036001140251755714, 0.008544574491679668, -0.02541346289217472, -0.01654229499399662, -0.0056318240240216255, 0.009683851152658463, -0.029469287022948265, -0.004674831405282021, -0.007238203659653664, 0.005324219353497028, 0.006676160730421543, -0.002755150431767106, 0.010868698358535767, 0.0019918351899832487, -0.0045533087104558945, -0.009121807292103767, -0.0006308744195848703, -0.012873824685811996, -0.005582455080002546, -0.007340738549828529, -0.002474128967151046, -0.0062508308328688145, 0.020339883863925934, -0.007321750745177269, 0.00689642084762454, -0.0033912465441972017, -0.01672457903623581, -0.021555112674832344, 0.022952625527977943, -0.023636190220713615, -0.002037406200543046, 0.008134434930980206, -0.012813063338398933, 0.003096933476626873, -0.0001596173970028758, -0.006945789325982332, 0.00195955578237772, -0.011559859849512577, -0.004234311170876026, 0.022481724619865417, -0.02114497311413288, 0.016329631209373474, -0.007511630188673735, 0.014172600582242012, -0.013564986176788807, -0.0076483432203531265, -0.03054780140519142, 0.0035450488794595003, -0.011218076571822166, 0.01827399618923664, -0.005886262282729149, -0.026248931884765625, 0.021220924332737923, 0.0018105002818629146, 0.0005307130049914122, -0.029712332412600517, -0.001513338997028768, 0.0018617677269503474, -0.014689072035253048, 0.01035982184112072, -0.010344631038606167, 0.022436153143644333, 0.03475553169846535, -0.021023450419306755, 0.017377765849232674, -0.011605430394411087, 0.007074907422065735, -0.008567359298467636, -0.011263648048043251, -0.004355833865702152, -0.00988132506608963, 0.013071299530565739, 0.01253204233944416, -0.005403968505561352, -0.02176777832210064, -0.02907433733344078, 0.007747080642729998, 0.009342067874968052, 0.0005378334899432957, 0.010382606647908688, 0.026583120226860046, 0.00163201370742172, 0.011195290833711624, 0.005753346718847752, -0.018091712146997452, -0.004173549823462963, 0.0005098262336105108, -0.013010538183152676, 0.011704168282449245, -0.01363334245979786, 0.015615683980286121, -0.02132725715637207, -0.02655273862183094, 0.022071585059165955, 0.0049102818593382835, 0.008385075256228447, 0.009410424157977104, -0.00918256863951683, 0.0007709104684181511, 0.005225481931120157, -0.016208108514547348, -0.01637520082294941, -0.007249596528708935, -0.017210671678185463, -0.008559764362871647, -0.011088958941400051, -0.0036874585784971714, 0.009243330918252468, 0.007750878110527992, 0.0045267255045473576, -0.006406531669199467, -0.006748314946889877, -0.016253678128123283, 0.012828254140913486, -0.0004716130206361413, 0.022648818790912628, 0.003839361947029829, 0.02734263800084591, 0.028937624767422676, 0.003846957115456462, -0.01619291678071022, -0.002626032568514347, -0.0005259659956209362, 0.0002826830022968352, 0.00037952151615172625, -0.007363524287939072, 0.00826355256140232, 0.002903256332501769, -0.013549796305596828, -0.0015835943631827831, 0.008893952704966068, -0.004276084713637829, 0.0008929080213420093, -0.022876672446727753, 0.009372448548674583, 0.009174973703920841, -0.011172505095601082, 0.023377954959869385, 0.006019177846610546, -0.009888920933008194, -0.01913984678685665, 0.016496725380420685, -0.007853413000702858, 0.0038811354897916317, 0.006463495548814535, 0.003831766778603196, 0.02134244702756405, 0.006566030438989401, 0.0014364378293976188, -0.011461121961474419, 0.011088958941400051, 0.016663817688822746, 0.009615493938326836, -0.005662204697728157, -0.0027570491656661034, 0.023621000349521637, -0.020263932645320892, -0.0012361151166260242, -0.0024266589898616076, 0.009395234286785126, -0.0024855216033756733, -0.019109465181827545, -0.004697617143392563, 0.015965061262249947, 0.00456849904730916, 0.00983575452119112, -0.007724294904619455, 0.0037842970341444016, 0.012911801226437092, -0.017013195902109146, 0.01358777191489935, 0.0017668281216174364, -0.015737207606434822, -0.018213234841823578, -0.003848856082186103, 0.0046140700578689575, -0.009114212356507778, -0.022071585059165955, -0.0032773190177977085, 0.004416595678776503, 0.014453621581196785, 0.017620811238884926, -0.008947118185460567, 0.008878761902451515, 0.03350992128252983, -0.019079085439443588, 0.02671983279287815, -0.0029640179127454758, 0.010033228434622288, -0.007306560408324003, -0.016329631209373474, 0.0018731605960056186, -0.014438431710004807, -0.025534985587000847, 0.01396753080189228, 0.02629450336098671, -0.003941896837204695, 0.013390297070145607, 0.014453621581196785, 0.011871261522173882, 0.0028045191429555416, 0.010071204975247383, 0.006653374992311001, 0.03293268755078316, -0.014939713291823864, 0.013306749984622002, -0.00788379367440939, -0.001630114857107401, 0.010982626117765903, -0.0035203646402806044, -0.01376246102154255, 0.027190733700990677, -0.016405582427978516, -0.0018399315886199474, -0.002897560130804777, 0.0033285864628851414, 0.010420583188533783, -0.02079559490084648, -0.01201556995511055, -0.00953194685280323, -0.007101490627974272, 0.039312634617090225, -0.006064748857170343, -0.0014202981255948544, -0.008559764362871647, -0.006114117335528135, -0.025641318410634995, 0.002684895182028413, -0.010428178124129772, -0.007807841990143061, 9.054875408764929e-05, 0.006638184655457735, 0.0007400550530292094, -0.017620811238884926, -0.0226336270570755, -0.01376246102154255, -0.012410519644618034, -0.02018798142671585, -0.01731700450181961, 0.010861103422939777, 0.014020697213709354, 0.014233361929655075, 0.002946928609162569, -0.02795025147497654, 0.005525491200387478, -0.016132155433297157, -0.0085749551653862, -0.01536504365503788, 0.017134718596935272, 0.0016557485796511173, 0.007325548212975264, -0.03976834565401077, -0.0030646538361907005, -0.005973606836050749, -0.0078761987388134, -0.004671033937484026, 0.0018038545968011022, -0.012106711976230145, 0.0037767018657177687, 0.0005872021429240704, -0.011818095110356808, 0.0039343019016087055, 0.006972372531890869, -0.011742143891751766, 0.0072268107905983925, -0.018562613055109978, -0.025793220847845078, 0.0034690971951931715, 0.015889110043644905, -0.013420677743852139, -0.003786195768043399, 0.0007870502304285765, -0.010526915080845356, -0.016663817688822746, -0.005183708388358355, 0.006022975314408541, -0.024775467813014984, -0.02421342395246029, 0.009896515868604183, -0.02002088725566864, 0.007792651653289795, 0.02793506160378456, -0.0014839076902717352, 0.005411563441157341, 0.012478875927627087, 0.006938194390386343, -0.0006546093500219285, 0.0016358112916350365, 0.00025277698296122253, 0.010428178124129772, -0.010086394846439362, -0.004853317979723215, 0.01362574752420187, -0.02176777832210064, 0.01601063273847103, -0.005248267203569412, -0.016481533646583557, -0.005411563441157341, 0.009061045944690704, 0.01005601417273283, 0.004424190614372492, 0.019048703834414482, -0.030061710625886917, 0.009790183044970036, 0.013846008107066154, -0.005711573176085949, -0.007982530631124973, -0.01366372313350439, 0.010633247904479504, -0.009212949313223362, 0.007762270979583263, 0.01558530330657959, -0.008726858533918858, -0.004959650803357363, -0.012797873467206955, -0.019306940957903862, 0.004769771359860897, 0.005240672267973423, -0.009288901463150978, 0.003507073037326336, -0.02210196480154991, -0.012167473323643208, 0.02125130593776703, 0.005878666881471872, -0.015258710831403732, 0.015501756221055984, -0.02592993527650833, -0.02664388157427311, -0.017560049891471863, 0.016041014343500137, 0.016922054812312126, 0.008658502250909805, -0.018349947407841682, -0.021479161456227303, 0.015722015872597694, 0.012380138970911503, 0.0031633912585675716, 0.05371309071779251, 0.0004884648369625211, -4.657979661715217e-05, -0.014575145207345486, 0.0026450203731656075, -0.001096553634852171, 0.0014174499083310366, -0.01932213082909584, -0.003262128448113799, -0.014514382928609848, 0.0015940377488732338, -0.001965251984074712, -0.021919680759310722, 0.0016139751533046365, -0.008893952704966068, 0.028223678469657898, 0.0014250450767576694, -0.007279977202415466, -0.00988132506608963, -0.013701699674129486, -0.021782968193292618, -0.005628026090562344, 0.010838317684829235, -0.011651001870632172, 0.019914554432034492, 0.01879046857357025, -0.009752207435667515, -0.002563372254371643, -0.000522643094882369, -0.015319472178816795, 0.014651096425950527, -0.012782682664692402, 0.00138232228346169, -0.0018342352705076337, 0.0020506978034973145, 0.0006356213707476854, -0.04441659525036812, -0.006281211506575346, 0.013109276071190834, -0.016314439475536346, 0.006030570715665817, -0.017453717067837715, 0.005301433615386486, -0.0017326497472822666, 0.0010614260099828243, -0.014529573731124401, 0.0001401547488057986, -0.009220545180141926, -0.015182758681476116, -0.030593372881412506, -0.007553403731435537, 0.004648248199373484, -0.019048703834414482, 0.019534794613718987, -0.020825974643230438, 0.00792176928371191, 0.00349188270047307, 0.010071204975247383, -0.002132345922291279, 0.008278743363916874, 0.02204120345413685, 0.0007970188744366169, -0.018228424713015556, 0.015030855312943459, 0.00010728187771746889, 0.018046140670776367, -0.010724389925599098, -0.002833001082763076, 0.01366372313350439, 0.0038792367558926344, 0.014727048575878143, 0.0029943985864520073, 0.0022500711493194103, 0.009896515868604183, -0.002897560130804777, 0.0021038639824837446, -0.01271432638168335, -0.005392575636506081, 0.017818285152316093, -0.0044052028097212315, 0.00984334945678711, 0.011909238062798977, -0.010481344535946846, -0.006539447233080864, -0.01184088084846735, -0.016557486727833748, -0.009767397306859493, -0.011681382544338703, 0.011992784217000008, -0.008772429078817368, 0.009258520789444447, 0.007298965007066727, 0.007131871301680803, -0.02090192772448063, 0.013549796305596828, 0.0034425139892846346, -0.022071585059165955, -0.0076255579479038715, 0.007386309560388327, 0.0013101680669933558, 0.007724294904619455, 0.01127124298363924, -0.01231937762349844, -0.012790278531610966, 0.02307414822280407, -0.009759802371263504, 0.013306749984622002, 0.005666002165526152, 0.006923004053533077, -0.002937434706836939, -0.009288901463150978, -0.01626886986196041, -0.007891388610005379, -0.021403208374977112, 0.00858255010098219, 0.010382606647908688, -0.0007993924082256854, -0.008559764362871647, -0.0034690971951931715, 0.008461027406156063, -0.016056204214692116, 0.011894047260284424, 0.019109465181827545, 0.005882464814931154, -0.026431215927004814, -0.014218171127140522, 0.0014848571736365557, 0.0071432641707360744, 0.005806512665003538, -0.0004839551984332502, -0.01144593209028244, 0.013853603042662144, 0.02125130593776703, 0.018501851707696915, 0.014225766994059086, 0.016557486727833748, 0.00843824166804552, -0.030927561223506927, 0.015630874782800674, 0.012964967638254166, -0.03803664818406105, 0.012721921317279339, -0.009957277216017246, -0.01768157258629799, 0.0018997436854988337, 0.0005406816489994526, 0.0030190828256309032, -0.015828348696231842, 0.0021665242966264486, -0.0067559098824858665, -0.008536978624761105, 0.010458558797836304, 0.0315047949552536, -0.010131966322660446, -0.012205449864268303, -0.0329023078083992, 0.0007523972308263183, -0.008278743363916874, 0.02099306881427765, 0.011050982400774956, -0.015600494109094143, 0.01363334245979786, -0.003907718695700169, 0.007409095298498869, -0.001107946503907442, -0.011544669046998024, -0.01932213082909584, -0.003300104523077607, -0.018836038187146187, 0.011043387465178967, -0.003972277510911226, 0.003315294859930873, -0.002624133601784706, 0.018167663365602493, 0.009509162046015263, -0.006679958198219538, 0.009630684740841389, -0.0005800816579721868, -0.004283679649233818, -0.01501566544175148, 0.00511914910748601, 0.0029450298752635717, 0.0174992885440588, -0.02594512514770031, 0.009114212356507778, -0.007693914230912924, -0.003619101829826832, 0.011681382544338703, 0.016861293464899063, -0.0014354884624481201, 0.007652140688151121, -0.02497294172644615, 0.010443368926644325, 0.008909142576158047, -0.018911991268396378, 4.767753853229806e-05, -0.01305610965937376, 0.004283679649233818, -0.02656792849302292, -0.02550460398197174, -0.002367796376347542, 0.00517991092056036, -0.01853223145008087, 0.007378714624792337
            ],
            "page_number": 104
        },
        {
            "@search.action": "upload",
            "id": "earth_at_night_508_page_105_verbalized",
            "page_chunk": "# Urban Structure\n\n## March 16, 2013\n\n### Phoenix Metropolitan Area at Night\n\nThis figure presents a nighttime satellite view of the Phoenix metropolitan area, highlighting urban structure and transport corridors. City lights illuminate the layout of several cities and major thoroughfares.\n\n**Labeled Urban Features:**\n\n- **Phoenix:** Central and brightest area in the right-center of the image.\n- **Glendale:** Located to the west of Phoenix, this city is also brightly lit.\n- **Peoria:** Further northwest, this area is labeled and its illuminated grid is seen.\n- **Grand Avenue:** Clearly visible as a diagonal, brightly lit thoroughfare running from Phoenix through Glendale and Peoria.\n- **Salt River Channel:** Identified in the southeast portion, running through illuminated sections.\n- **Phoenix Mountains:** Dark, undeveloped region to the northeast of Phoenix.\n- **Agricultural Fields:** Southwestern corner of the image, grid patterns are visible but with much less illumination, indicating agricultural land use.\n\n**Additional Notes:**\n\n- The overall pattern shows a grid-like urban development typical of western U.S. cities, with scattered bright nodes at major intersections or city centers.\n- There is a clear transition from dense urban development to sparsely populated or agricultural land, particularly evident towards the bottom and left of the image.\n- The illuminated areas follow the existing road and street grids, showcasing the extensive spread of the metropolitan area.\n\n**Figure Description:**  \nA satellite nighttime image captured on March 16, 2013, showing Phoenix and surrounding areas (including Glendale and Peoria). Major landscape and infrastructural features, such as the Phoenix Mountains, Grand Avenue, the Salt River Channel, and agricultural fields, are labeled. The image reveals the extent of urbanization and the characteristic street grid illuminated by city lights.\n\n---\n\nPage 89",
            "page_embedding_text_3_large": [
            -0.012408008798956871, -0.010935738682746887, -0.01799791119992733, 0.021761255338788033, 0.008125041611492634, -0.04487668350338936, 0.03457866609096527, 0.03738148882985115, -0.025697806850075722, -0.0032535595819354057, -0.00041063150274567306, 0.07577073574066162, 0.032972551882267, -0.049852482974529266, -0.020564543083310127, 0.003302766475826502, -0.040751177817583084, 0.030327189713716507, -0.015344676561653614, 0.03243718296289444, 0.027981005609035492, -0.01735231839120388, -0.02837466076016426, 0.020958198234438896, -0.004117632284760475, 0.02560332790017128, 0.020596034824848175, 0.015486392192542553, 0.004263285081833601, 0.009408357553184032, -0.01991894841194153, 0.006778741255402565, 0.021336106583476067, -0.02295796573162079, -0.003273242386057973, 0.02432788535952568, 0.019604025408625603, 0.008589554578065872, 0.041003115475177765, 0.019037161022424698, 0.0077431960962712765, -0.06295332312583923, 0.02824869193136692, 0.008188026025891304, -0.00022856600116938353, -0.039743419736623764, 0.018722238019108772, -0.010534211061894894, 0.027303919196128845, 0.0054796794429421425, -0.010565703734755516, -0.02750862017273903, -0.049411591142416, -0.02887853980064392, 0.025902505964040756, 0.01876947656273842, 0.04966352880001068, 0.07766028493642807, 0.00472386134788394, -0.005298597738146782, 0.03256314992904663, 0.012911887839436531, 0.0014516032533720136, 0.018155373632907867, 0.017887689173221588, 0.0418219193816185, -0.012439501471817493, -0.0007174364291131496, -0.010384622029960155, -0.008920225314795971, -0.009266640990972519, 0.0633942186832428, 0.00955794658511877, 0.009030448272824287, 0.06909434497356415, -0.017824703827500343, 0.025414373725652695, -0.007003124337643385, -0.012974872253835201, -0.005278915166854858, 0.017824703827500343, -0.016139859333634377, -0.009014702402055264, 0.07192866504192352, 0.015620235353708267, -0.010211413726210594, -0.03596433252096176, -0.09422528743743896, 0.016895677894353867, 0.03662567213177681, -0.03854670748114586, -0.03634224086999893, -0.013478751294314861, 0.009683915413916111, 0.0032594643998891115, 0.0016395736020058393, 0.05630842596292496, 0.00037963115028105676, 0.02637489326298237, 0.02623317763209343, 0.006991314701735973, 0.008613173849880695, 0.0029150161426514387, -0.028689585626125336, 0.03369687870144844, -0.021257376298308372, -0.010305890813469887, 0.0011199488071724772, 0.0005688316305167973, 0.03750745952129364, 0.01686418429017067, -0.030075250193476677, -0.007231444586068392, -0.02017088793218136, -0.03240568935871124, -0.0022910728584975004, 0.018722238019108772, 0.00937686488032341, 0.06676390767097473, 0.03259464353322983, 0.019194623455405235, -0.0023501210380345583, 0.0367831327021122, -0.007833736948668957, -0.01837582141160965, 0.003137431340292096, 0.01836007460951805, -0.014628224074840546, -0.0023383114021271467, 0.04487668350338936, -0.04878174141049385, 0.02837466076016426, 0.009455596096813679, 0.01572258584201336, -0.009353245608508587, -0.014392031356692314, -0.0132976695895195, 0.008668285794556141, 0.021745508536696434, 0.0123450243845582, -0.020076410844922066, -0.014415650628507137, 0.0002598123683128506, -0.028595108538866043, -0.034893590956926346, 0.006046542432159185, 0.02141483873128891, 0.044561758637428284, 0.013911771588027477, -0.01040036790072918, -0.011274282820522785, -0.005522981286048889, 0.04538056254386902, -0.004034964833408594, -0.019966186955571175, -0.006751185283064842, -0.0053025344386696815, -0.00039709958946332335, -0.043522510677576065, 0.0038656932301819324, 0.015549377538263798, 0.004452239256352186, -0.0015155721921473742, -0.027918020263314247, 0.013163827359676361, -0.04002685099840164, 0.026674071326851845, -0.04966352880001068, -0.04487668350338936, 0.010738911107182503, 0.047962937504053116, -0.022280879318714142, -0.03508254513144493, -0.003668865654617548, 0.02865809202194214, -0.040593717247247696, 0.011974988505244255, 0.027697574347257614, -0.03939700499176979, 0.0065386113710701466, -0.024800272658467293, -0.041506994515657425, 0.0040743304416537285, -0.0155257573351264, 0.0019062749342992902, -0.00855806190520525, 0.03015398234128952, -0.004231792408972979, 0.028815554454922676, -0.005263168830424547, -0.00288155535236001, 0.03473612666130066, 0.06181959807872772, -0.02966585010290146, 0.031098755076527596, -0.028563614934682846, 0.027807798236608505, -0.02686302550137043, -0.01597452536225319, -0.012722933664917946, -0.01924186199903488, -0.007144840434193611, -0.021084168925881386, 0.037696413695812225, 0.02571355178952217, 0.02270602621138096, 0.01977723278105259, -0.0039660753682255745, -0.008447838947176933, 0.01623433642089367, 0.0011051867622882128, -0.061882585287094116, -0.009904362261295319, -0.026894517242908478, -0.021761255338788033, 0.01760425604879856, 0.016013890504837036, -0.02840615250170231, 0.013541735708713531, -0.03213800489902496, 0.028185706585645676, 0.029193462803959846, 0.007758942432701588, 0.017462540417909622, -0.0062551796436309814, -0.027020487934350967, -0.028579361736774445, 0.010841261595487595, -0.06071736663579941, -0.018218358978629112, -0.027713319286704063, -0.022863488644361496, 0.01273867953568697, 0.025398628786206245, 0.025697806850075722, 0.012612709775567055, 0.004385318141430616, 0.02028111182153225, -0.011447491124272346, -0.019037161022424698, 0.016753962263464928, -0.005393075291067362, -0.026658324524760246, -0.026579594239592552, 0.049600545316934586, -0.019320592284202576, -0.019415071234107018, 0.03347643092274666, 0.014612478204071522, 0.035271499305963516, 0.009164291433990002, -0.020202379673719406, 0.0329095683991909, 0.018564775586128235, 0.028957270085811615, 0.017667241394519806, -0.003540927777066827, 0.008077803067862988, 0.005456059705466032, 0.007652655243873596, -0.03243718296289444, 0.042010873556137085, -0.01273867953568697, 0.027225187048316002, 0.0006318164523690939, 0.015313183888792992, -0.02317841351032257, 0.005873334128409624, 0.003970012068748474, -0.03911357372999191, 0.03253166005015373, -0.06770867854356766, 0.01850179024040699, -0.023792514577507973, 0.012518232688307762, -0.0032791472040116787, 0.015895793214440346, -0.016801200807094574, -0.0006948012742213905, -0.002169039798900485, 0.001939735608175397, -0.007530622184276581, 0.025650566443800926, -0.04424683377146721, -0.03829476982355118, 0.026768548414111137, -0.017383810132741928, -0.013982629403471947, -0.015029752627015114, -0.04103460907936096, -0.015919413417577744, -0.06701584905385971, 0.006707882974296808, 0.006877155043184757, 0.032626137137413025, -0.005306471139192581, 0.004995483439415693, -0.05983557924628258, -0.04777398332953453, 0.007298365700989962, -0.008337615057826042, 0.04134953394532204, -0.052403368055820465, 0.010242906399071217, 0.013502370566129684, 0.04345952346920967, -0.018564775586128235, 0.04638832062482834, -0.016753962263464928, -0.046199362725019455, -0.002481995616108179, -0.026815786957740784, 0.008935971185564995, -0.00938473828136921, 0.01760425604879856, 0.008046310395002365, 0.030342936515808105, 0.006621278822422028, -0.008408472873270512, -0.017131870612502098, 0.02017088793218136, -0.04843532666563988, -0.0032437180634588003, 0.006892900913953781, -0.019178876653313637, 0.010660180822014809, -0.00824313797056675, -0.008211645297706127, -0.02369803749024868, -0.02165103144943714, -0.01280953735113144, 0.008605300448834896, 0.001155377714894712, -0.0020037044305354357, 0.03479911386966705, -0.009180037304759026, 0.026689816266298294, 0.027461381629109383, -0.00021737143106292933, 0.01607687585055828, 0.015895793214440346, -0.02155655436217785, -0.031114500015974045, -0.020580289885401726, 0.008935971185564995, -0.02382400818169117, -0.010998724028468132, 0.015029752627015114, -0.00855806190520525, 0.003346068551763892, 0.0010677895043045282, 0.020816482603549957, -0.020060664042830467, -0.018470298498868942, 0.009597311727702618, 0.021509315818548203, -0.03117748536169529, -0.03602731600403786, 0.0557415634393692, -0.01291976124048233, 0.02902025543153286, -0.055174700915813446, -0.04160147160291672, 0.018045149743556976, -0.03690910339355469, 0.035680901259183884, -0.012313531711697578, 0.003662960836663842, -0.00025538375484757125, 0.009148544631898403, -0.04361698776483536, 0.023146919906139374, -0.03637373447418213, -0.009282387793064117, 0.004153061658143997, -0.031618379056453705, 0.0380113385617733, -0.01057357620447874, -0.012431629002094269, 0.007203888613730669, -0.024753034114837646, 0.05234038457274437, 0.027020487934350967, 0.0038617567624896765, 0.011597080156207085, 0.05794603377580643, -0.00849507749080658, -0.025965491309762, 0.018942683935165405, 0.004700242076069117, -0.0008862160611897707, -0.016407545655965805, 0.033633891493082047, -0.020092157647013664, 0.034925080835819244, 0.0014319204492494464, -0.008282504044473171, -0.00969178881496191, 0.016171352937817574, 0.04131804034113884, -0.0030783829279243946, 0.04245176911354065, 0.028075482696294785, 0.06487436592578888, -0.002304850611835718, 0.05051382631063461, 0.021493569016456604, -0.03451567888259888, 0.0068495990708470345, -0.01876947656273842, 0.0035743885673582554, -0.007971515879034996, -0.008534442633390427, -0.02102118358016014, 0.0013266177847981453, 0.01476206723600626, -0.011904130689799786, 0.035775378346443176, 0.003956234082579613, 0.016061129048466682, -0.0011622667079791427, -0.00256466306746006, -0.055552609264850616, 0.024264901876449585, -0.013218938373029232, 0.0024583761114627123, -0.00038430580752901733, 0.01475419383496046, -0.0048025925643742085, 0.00835336185991764, 0.03977491334080696, -0.014714828692376614, 0.009636676870286465, -0.0017389714485034347, -0.0025764727033674717, -0.005121453199535608, 0.018202612176537514, 0.013069350272417068, 0.007967579178512096, -0.030138235539197922, -0.03634224086999893, 0.020722005516290665, 0.013793675228953362, -0.012085212394595146, -0.013707071542739868, 0.03942849487066269, 0.0027929830830544233, -0.0077353231608867645, 0.012321405112743378, -0.030468905344605446, -0.03407478705048561, 0.042010873556137085, -0.05104919523000717, -0.02141483873128891, 0.021115660667419434, -0.021477822214365005, -0.005873334128409624, -0.019430816173553467, 0.009605185128748417, -0.022658787667751312, 0.014478635042905807, -0.022611549124121666, 0.004660876467823982, -0.07274746894836426, 0.0070661092177033424, 0.013588974252343178, -0.011093201115727425, 0.029980773106217384, 0.01607687585055828, 0.0012419818667694926, 0.04446728155016899, -6.22774678049609e-05, -0.04978949949145317, 0.07281044870615005, -0.027587350457906723, 0.0034385775215923786, -0.022580057382583618, -0.04128654673695564, 0.02065902017056942, -0.026296161115169525, -0.03665716573596001, 0.03501955792307854, 0.016675230115652084, -0.014132218435406685, -0.0018472266383469105, 0.024264901876449585, 0.0009073750698007643, 0.014549492858350277, -0.04471922293305397, 0.01760425604879856, 0.035428959876298904, 0.006845662370324135, -0.006511055398732424, -0.0072747464291751385, -0.012203308753669262, 0.00535764591768384, -0.03470463678240776, 0.0006490388768725097, -0.014305426739156246, 0.046703241765499115, -0.06474839150905609, 0.03508254513144493, -0.001677954918704927, -0.01071529183536768, -0.003456291975453496, 0.006416578311473131, 0.003907027188688517, 0.012400136329233646, -0.030232712626457214, -0.007621163036674261, 0.014699081890285015, -0.00040325045119971037, -0.007825863547623158, -0.0354919470846653, 0.015872174873948097, -0.02026536501944065, 0.030216965824365616, 0.0033874022774398327, 0.006861408706754446, -0.004420747049152851, 0.00862891972064972, -0.02346184477210045, -0.002019450766965747, -0.01248674001544714, -0.012526106089353561, 0.013092969544231892, 0.014360538683831692, -0.02713070996105671, 0.005495425313711166, -0.03949148207902908, -0.037570443004369736, 0.04106610268354416, 0.028028244152665138, -0.003505498869344592, 0.004212109837681055, -0.022989459335803986, -0.02587101422250271, 0.03391732648015022, 0.0158485546708107, -0.004861640743911266, -0.03281509131193161, 0.019855964928865433, 0.0018245914252474904, 0.033381953835487366, 0.018706491217017174, 0.023099681362509727, 0.012785918079316616, 0.012061593122780323, -0.0012439502170309424, -0.006270925980061293, -0.005404884926974773, -0.0016661452827975154, -0.0017173204105347395, 0.029429657384753227, -0.02560332790017128, -0.011101074516773224, 0.00409007677808404, -0.0004212109779473394, -0.015754077583551407, 0.03640522435307503, -0.015313183888792992, -0.014966767281293869, -0.031508155167102814, 0.011959242634475231, -0.017525525763630867, -0.0008035484934225678, -0.01599027030169964, 0.02700474113225937, -0.004822275135666132, 0.028280183672904968, -0.022721773013472557, 0.0072235711850225925, 0.011935623362660408, 0.024705795571208, 0.023414606228470802, 0.031004276126623154, -0.012289912439882755, -0.02242259494960308, -0.015069117769598961, -0.013604721054434776, 0.004767163656651974, 0.0019613865297287703, 0.033130016177892685, 0.012896141968667507, -0.00424753874540329, -0.01273867953568697, -0.00267882295884192, 0.0035625786986202, 0.026563847437500954, 0.0021651030983775854, 0.03081532195210457, 0.01545489951968193, 0.0532536655664444, 0.004940371494740248, 0.01659649983048439, 0.014407777227461338, -0.014360538683831692, 0.005727681796997786, 0.010227159596979618, -0.026658324524760246, 0.017887689173221588, 0.022973712533712387, 0.01900566928088665, -0.012707186862826347, 0.018816715106368065, 0.029114732518792152, 0.07564476877450943, 0.0007440081681124866, 0.029949281364679337, -0.006794487126171589, -0.03081532195210457, -0.001780305290594697, 0.02776055969297886, -0.011974988505244255, 0.02092670649290085, -0.03917655721306801, -0.0028205388225615025, 0.04027879238128662, 0.016187097877264023, -0.03001226671040058, 0.0136204669252038, 0.0017753845313563943, 0.02991778962314129, -0.00721963495016098, -0.029429657384753227, -0.01451800111681223, -0.016659485176205635, 0.0057867299765348434, -0.027225187048316002, -0.06726778298616409, 0.012982745654881, -0.018580522388219833, 0.018596267327666283, -0.051269643008708954, -0.007215698249638081, -0.019950442016124725, -0.02320990525186062, 0.0018442742293700576, 0.006369339767843485, -0.013447258621454239, -0.022847743704915047, 0.03464164957404137, -0.016565008088946342, -0.006570104043930769, 0.009502834640443325, 0.0008581681759096682, -0.027571603655815125, -0.040089838206768036, 0.015116356313228607, -0.008833620697259903, -0.014242442324757576, 0.01810813508927822, -0.0028854920528829098, 0.010235032998025417, 0.015447027049958706, -0.03190181031823158, -0.016832692548632622, -0.020706258714199066, -0.004857704043388367, -0.01082551572471857, -0.02609146200120449, 0.02457982487976551, -0.02330438233911991, -0.004286904353648424, 0.010746784508228302, 0.032106511294841766, -0.008014817722141743, -0.010628688149154186, 0.012911887839436531, -0.020485812798142433, 0.013321288861334324, 0.004456175956875086, 0.03220098838210106, -0.006026859860867262, 0.02242259494960308, -0.02878406271338463, -0.01216394267976284, 0.009983093477785587, -0.0018954493571072817, 0.014651843346655369, 0.0016622086986899376, 0.0008586602052673697, 0.0017625908367335796, -0.028343169018626213, 0.007821926847100258, -0.01620284467935562, 0.05363157391548157, -0.005932382773607969, 0.00022364531469065696, -0.0015362390549853444, -0.011841146275401115, -0.0354604534804821, -0.0030350808519870043, 0.007373160216957331, -0.008069929666817188, -0.0016100493958219886, -0.004188490565866232, 0.012533978559076786, 0.049222636967897415, -0.04679771885275841, -0.005578092765063047, -0.026579594239592552, -0.010975104756653309, 0.0026768548414111137, -0.029240701347589493, 0.035932838916778564, -0.011045962572097778, 0.00803450122475624, -0.034011803567409515, 0.008920225314795971, -0.005889080464839935, 0.003944424446672201, 0.0007213730132207274, 0.01710037887096405, 0.026138700544834137, -0.015021879225969315, -0.02862660028040409, 0.005751301068812609, 0.0003437101258896291, -0.00023643911117687821, 0.02091095969080925, -0.002879587234929204, -0.022123416885733604, 9.939791925717145e-05, -0.015746204182505608, -0.033759862184524536, -0.014864416792988777, -0.000627879926469177, -0.007046426646411419, 0.006266989279538393, -0.027666080743074417, -0.03265762701630592, 0.006207941100001335, -0.0013423638883978128, -0.017289333045482635, -0.022485580295324326, -0.019714247435331345, -0.0016543356468901038, -0.007459764368832111, -0.026390638202428818, -0.0050505949184298515, -0.013659832067787647, 0.01724209450185299, -0.029177717864513397, -0.029429657384753227, 0.019178876653313637, 0.023146919906139374, -0.00020580780983436853, -0.0171161238104105, 0.0020548796746879816, -0.0027063789311796427, -0.016250083222985268, -0.012463120743632317, -0.02017088793218136, 0.0148880360648036, 0.0023678354918956757, 0.015061244368553162, -0.00969178881496191, 0.002747712656855583, -0.009211529977619648, -0.005152945406734943, 0.01750977896153927, -0.050860241055488586, 0.05038785561919212, 0.003877502866089344, -0.002647330751642585, -0.003251591231673956, -0.009739027358591557, 0.023587815463542938, 2.2681300833937712e-05, 0.0052277399227023125, 0.0024012962821871042, -0.008376981131732464, -0.009243021719157696, 0.025304151698946953, 0.0246900487691164, 0.02317841351032257, 0.02028111182153225, -0.017147617414593697, -0.006680327467620373, -0.0010392494732514024, -0.022721773013472557, 0.0055190445855259895, 0.018438804894685745, 0.007503066677600145, -0.01153409481048584, 0.03464164957404137, -0.025288404896855354, -0.05520619451999664, 0.015124229714274406, 0.017037393525242805, 0.011864765547215939, 0.01812388189136982, -0.035554930567741394, 0.026815786957740784, -0.008329742588102818, 0.008636793121695518, 0.018029404804110527, -0.011187678202986717, 0.00938473828136921, 0.024753034114837646, 0.023666545748710632, 0.017320824787020683, -0.007987262681126595, 0.0007868181564845145, -0.03750745952129364, 0.003698389744386077, -0.025052212178707123, 0.015596616081893444, 0.01000671274960041, 0.018045149743556976, -0.0027634589932858944, 0.0031315265223383904, 0.021383345127105713, -0.02229662612080574, 0.008069929666817188, -0.010683800093829632, 0.006605532951653004, -0.012896141968667507, -0.0040231551975011826, -0.003849947126582265, 0.004160934593528509, 0.005117516499012709, -0.004412873648107052, -0.025571836158633232, 0.0011347108520567417, 0.007073982618749142, -0.005830032285302877, 0.004944308195263147, 0.009431976824998856, -0.006869281642138958, 0.027902275323867798, -0.020312603563070297, 0.04282967746257782, 0.00012609265104401857, 0.02522541955113411, -0.009526453912258148, 0.034263741225004196, -0.014691208489239216, 0.014273934066295624, 0.014336919412016869, 0.004306586924940348, 0.022784758359193802, -0.00962880440056324, 0.012022227048873901, -0.006514992099255323, 0.01026652567088604, -0.013903899118304253, 0.02763458900153637, 0.027272425591945648, 0.027650335803627968, 0.037822384387254715, -0.008731270208954811, 0.0316498726606369, -0.010250778868794441, 0.0055190445855259895, -0.008613173849880695, 0.018722238019108772, -0.019037161022424698, 0.006432324647903442, 0.0012734743067994714, 0.014966767281293869, -0.007471574004739523, 0.0042003002017736435, -0.010392495431005955, 0.004361698869615793, 0.02612295374274254, 0.013494497165083885, -0.015494265593588352, -0.020737752318382263, -0.02269028127193451, -0.010927866213023663, 0.03116173855960369, 0.0002306573005625978, 0.0005560378776863217, 0.0043656351044774055, 0.04068819433450699, 0.017840450629591942, -0.005499362014234066, 0.0036531195510178804, 0.004121568985283375, 0.009109179489314556, 0.002728029852733016, 0.0183915663510561, -0.020107902586460114, -0.01887969858944416, -0.012069465592503548, -0.003096097381785512, 3.210749491699971e-05, -0.02635914646089077, -0.00372397736646235, 0.013588974252343178, -0.019588278606534004, 0.018407313153147697, -0.00324568641372025, 0.008723397739231586, -0.00987287051975727, -0.01001458615064621, -0.0015283660031855106, 0.011730922386050224, 0.0064953095279634, 0.009487087838351727, 0.02902025543153286, 0.017651494592428207, -0.0050112297758460045, 0.02154080756008625, -0.018706491217017174, 0.01801365800201893, -0.008266757242381573, 0.0329410582780838, 0.014147965237498283, -0.011478982865810394, 0.020470065996050835, -0.003619658760726452, -0.002357994206249714, 0.02026536501944065, 3.678214852698147e-05, 0.005467869341373444, -0.002413105918094516, -0.02459557168185711, 0.023493336513638496, 0.012148196808993816, -0.025697806850075722, 0.01773022674024105, 0.006022923160344362, 0.005393075291067362, 0.012274166569113731, -0.016816945746541023, -0.004275094717741013, 0.03741298243403435, -0.025052212178707123, -0.0023127237800508738, 0.023115428164601326, 0.011045962572097778, -0.013911771588027477, 0.0028913968708366156, -0.011093201115727425, -0.020344097167253494, 0.003117748536169529, -0.016313068568706512, 0.014281807467341423, 0.0009152481216005981, 0.03564940765500069, -0.03196479380130768, -0.03637373447418213, 0.015793442726135254, 0.00481046549975872, 0.013250431045889854, -0.008565935306251049, -0.015415534377098083, 0.005798540078103542, -0.03624776378273964, 0.004475858528167009, 0.03448418900370598, 0.001021535019390285, 0.0027103153988718987, -0.016265830025076866, -0.020989689975976944, 0.009959474205970764, -0.0032909568399190903, 0.004050711169838905, 0.018549028784036636, -0.034673143178224564, 0.023729531094431877, -0.03040592186152935, -0.021509315818548203, -0.019871709868311882, -0.03816879913210869, -0.030894054099917412, 0.0057788570411503315, 8.349794370587915e-06, -0.007932150736451149, 0.0069243935868144035, -0.023162666708230972, 0.013242557644844055, 0.035680901259183884, -0.015943031758069992, -0.005885143764317036, 0.014714828692376614, 0.01659649983048439, 0.028091229498386383, -0.002649298869073391, 0.017824703827500343, 0.041884902864694595, 0.04462474212050438, -0.02698899433016777, 0.006416578311473131, -0.0001847718667704612, 0.004318396560847759, 0.013770055957138538, 0.0076605286449193954, -0.032012034207582474, 0.0006962774787098169, -0.05470231547951698, -0.018974175676703453, -0.022501327097415924, 0.01927335374057293, 0.015565123409032822, 0.004983673803508282, -0.013809421099722385, -0.0018452584045007825, -0.004849831108003855, -0.012274166569113731, 0.009809885174036026, -0.01032163668423891, -0.001655319705605507, -0.011967115104198456, -0.02295796573162079, -0.01812388189136982, -0.02294222079217434, 0.03574388474225998, 0.005408821161836386, 0.013793675228953362, -0.00930600706487894, 0.0018718300852924585, 0.024044454097747803, -0.01388027984648943, 0.009817758575081825, 0.015580869279801846, 0.025241166353225708, -0.026453623548150063, 0.01090424694120884, -0.031020022928714752, 0.0048025925643742085, 0.01007757056504488, 0.022737519815564156, -0.0183915663510561, -0.00835336185991764, 0.0017586542526260018, 0.020611781626939774, 0.008062057197093964, 0.021194390952587128, -0.003353941487148404, -0.02520967274904251, -0.01083338912576437, 0.02687877044081688, -0.0030252395663410425, -0.02080073580145836, -0.002733934670686722, 0.031508155167102814, 0.005959938280284405, -0.00803843792527914, -0.014171584509313107, 0.04160147160291672, -0.015517884865403175, -0.005467869341373444, -0.024107439443469048, 0.025571836158633232, -0.031712856143713, 0.01887969858944416, -0.017194855958223343, -0.001075662556104362, 0.03253166005015373, -0.024422364309430122, -0.018423059955239296, -0.005306471139192581, -0.0012734743067994714, 0.019194623455405235, 0.01914738491177559, 0.036310747265815735, -0.0015391914639621973, 0.009746900759637356, 0.0017891625175252557, 0.0033992119133472443, 0.010203540325164795, 0.014565239660441875, 0.011951369233429432, -0.008447838947176933, 0.011014469899237156, 0.01033738348633051, 0.0034425139892846346, 0.010494844987988472, -0.013415765948593616, 0.02180849388241768, -0.007085792254656553, 0.006444134283810854, -0.0032122258562594652, -0.006605532951653004, -0.03204352781176567, 0.006026859860867262, 0.0038401056081056595, -0.010864880867302418, -0.02432788535952568, 0.030500398948788643, -0.008010881952941418, 0.0034129898995161057, 0.011770287528634071, -0.01323468517512083, -0.015635980293154716, 0.0005309423431754112, -0.013714944012463093, 0.023288637399673462, 0.023650798946619034, 0.006570104043930769, 0.004546716809272766, -0.019855964928865433, -0.010990850627422333, 0.096303790807724, 0.013470877893269062, 0.01051059179008007, 0.015242326073348522, 0.007388906553387642, -0.0029799691401422024, -0.030594876036047935, 0.009683915413916111, 0.028689585626125336, -0.007211761549115181, 0.014171584509313107, 0.004763226956129074, -0.018832460045814514, -0.009431976824998856, 0.013533863238990307, -0.04349101707339287, -0.005058468319475651, 0.03198054060339928, -0.0027378713712096214, 0.026327654719352722, 0.007684147916734219, 0.003531086491420865, -0.01965126395225525, -0.0031020021997392178, -0.010628688149154186, -0.02015514113008976, 0.04569548740983009, 0.004345952533185482, 0.006133146584033966, -0.018470298498868942, -0.021714016795158386, -0.027162203565239906, -0.002909111324697733, -0.009613057598471642, -0.02650086209177971, 0.01153409481048584, -0.002015514299273491, 0.01697440817952156, 0.01999768055975437, 0.010250778868794441, -0.017651494592428207, 0.028075482696294785, -0.005223803222179413, -0.020580289885401726, -0.002773300278931856, -0.005082087591290474, -0.006322101224213839, 0.018564775586128235, 0.004593955352902412, -0.004778973292559385, -0.00424753874540329, -0.02155655436217785, 0.014210949651896954, -0.030972784385085106, -0.01773022674024105, 0.02902025543153286, -0.014911655336618423, 0.006778741255402565, 0.023036697879433632, 0.008872986771166325, 0.011943495832383633, 0.002852031262591481, -0.010526337660849094, -0.022249387577176094, 0.00994372833520174, 0.009857123717665672, -0.0048419577069580555, -0.005751301068812609, 0.010030332021415234, 0.009998840279877186, -0.03479911386966705, 0.002857936080545187, 0.0054363771341741085, -0.00408614007756114, -0.002852031262591481, 0.023477591574192047, -0.003580293385311961, -0.0016061129281297326, -0.006637025158852339, 0.00930600706487894, 0.0021670714486390352, -8.002270624274388e-05, -0.007884912192821503, 0.0075345588847994804, -0.008534442633390427, -0.013541735708713531, 0.0030823196284472942, -0.001230172230862081, -0.03341344743967056, -0.010486972518265247, -0.02965010330080986, 0.03716104477643967, -0.03243718296289444, 0.00913279876112938, -0.01813962683081627, -0.009117052890360355, 0.041003115475177765, -0.01977723278105259, -0.0035980078391730785, 0.009109179489314556, 0.025288404896855354, -0.0011898225639015436, 0.029051747173070908, -0.011998607777059078, 0.0005225771456025541, -0.02393423020839691, -0.021005436778068542, 0.019541040062904358, -0.000627879926469177, -0.0029465085826814175, -0.0056528872810304165, -0.003536991309374571, 0.002296977676451206, 0.0234303530305624, 0.029492640867829323, 0.002674886491149664, 0.008699778467416763, -0.0036787071730941534, -0.021241629496216774, -0.0007046426762826741, -0.0133134163916111, 0.02799675241112709, 0.014321173541247845, 0.003098065732046962, 0.015053371898829937, 0.008904478512704372, 0.00955794658511877, -0.003798771882429719, 0.012313531711697578, 0.0014899845700711012, -0.015195087529718876, -0.004420747049152851, 0.006593723315745592, 0.031224723905324936, -0.0015332866460084915, -0.025697806850075722, 0.034925080835819244, -0.027445634827017784, 0.011636445298790932, 0.011557714082300663, -0.02054879628121853, -0.00204307003878057, 0.022217893972992897, 0.02332012914121151, -0.0027693638112396, 0.0046175746247172356, -0.031020022928714752, 0.013998376205563545, 0.014407777227461338, 0.009077686816453934, 0.022973712533712387, -0.010943612083792686, -0.007664464879781008, -0.009164291433990002, -4.846878437092528e-05, 0.007455827668309212, -0.0006869281642138958, 0.01432904601097107, 0.020060664042830467, -0.021855732426047325, 0.0015844618901610374, -0.018060896545648575, -0.013431512750685215, -0.01400624867528677, 0.024753034114837646, 0.0297760721296072, 0.011014469899237156, 0.030311444774270058, -0.005841841921210289, -0.020816482603549957, 0.01999768055975437, -0.018344327807426453, -0.004515224136412144, 0.010959358885884285, 0.0158406812697649, 0.027193695306777954, -0.006845662370324135, 0.0027634589932858944, 0.02394997701048851, -0.005326153710484505, -0.021729761734604836, -0.023005204275250435, -0.027036232873797417, 0.027776304632425308, 0.0065897866152226925, 0.009361119009554386, 0.0018747824942693114, -0.006554357707500458, 0.005621395073831081, -0.008290376514196396, 0.005684379953891039, 0.0316498726606369, 0.003436609171330929, -0.0009708519210107625, 0.006310291588306427, -0.0024249155540019274, -0.0061646392568945885, -0.03234270587563515, 0.027335410937666893, -0.01597452536225319, 0.005345836281776428, -0.005499362014234066, 0.0007016902673058212, 0.02698899433016777, -0.009400484152138233, 0.0036019443068653345, -0.025020718574523926, 0.010794023051857948, -0.005495425313711166, -0.013392146676778793, 0.02875256910920143, 0.012274166569113731, -0.009581565856933594, -0.031744349747896194, 0.03133494779467583, -0.010518464259803295, 0.00706217298284173, -0.010471225716173649, 0.0024741224478930235, 0.020942451432347298, 0.003137431340292096, -0.011392379179596901, 0.011061708442866802, -0.001651383237913251, -0.04204236716032028, 0.007829800248146057, 0.025571836158633232, -0.012195435352623463, -0.009927982464432716, -0.012589090503752232, 0.030090996995568275, 0.005802476312965155, 0.010250778868794441, -8.752675785217434e-05, -0.02736690454185009, 0.011085327714681625, -0.02357206866145134, 0.008817874826490879, 0.0007420398760586977, 0.036688655614852905, 0.011069581843912601, -0.020060664042830467, 0.009613057598471642, 0.028059735894203186, -0.026910264045000076, -0.00012154101568739861, -0.007440081797540188, -0.02015514113008976, -0.013856659643352032, -0.0014112535864114761, -0.020706258714199066, 0.017068885266780853, -0.02583952248096466, 0.004385318141430616, -0.0008222471224144101, -0.02256431058049202, -0.014132218435406685, -0.008896606042981148, -0.01823410578072071, -0.011683683842420578, -0.02459557168185711, 0.004153061658143997, 0.019367830827832222, 0.0009191847057081759, 0.0038125498685985804, -0.0019771328661590815, -0.02650086209177971, -0.012604836374521255, 0.026658324524760246, -0.006601596251130104, -0.0183915663510561, 0.0034936892334371805, -0.011683683842420578, -0.006310291588306427, 0.008857239969074726, 0.0037318505346775055, -0.008439965546131134, -0.021477822214365005, 0.004558526445180178, 0.0027851099148392677, -0.008132915012538433, -0.004597891587764025, 0.02080073580145836, 0.0021375473588705063, 0.0033933070953935385, 0.019037161022424698, -0.017021646723151207, 0.008644666522741318, 0.025918252766132355, 0.02127312310039997, -0.013242557644844055, 0.026768548414111137, 0.011360886506736279, 0.03514552861452103, 0.0064244517125189304, -0.020233873277902603, -0.044404298067092896, 0.01570683903992176, -0.0032102575059980154, -0.0056961895897984505, 0.013959010131657124, 0.012510359287261963, 0.04727010801434517, -0.004853767808526754, -0.021777000278234482, -0.025902505964040756, 0.0012291880557313561, 0.014951021410524845, -0.011967115104198456, -0.012659948319196701, -0.01573833078145981, 0.004700242076069117, -0.003635405097156763, 0.03385433927178383, -0.0016415418358519673, -0.012124577537178993, -0.010864880867302418, 0.02089521288871765, -0.007896721363067627, -0.031208977103233337, -0.01900566928088665, -0.025335643440485, 0.001469317707233131, 0.010518464259803295, -0.03284658119082451, 0.011069581843912601, -0.0107625313103199, -0.007255063857883215, -0.014880163595080376, -0.020092157647013664, -0.027823543176054955, -0.010723165236413479, -0.0022359611466526985, -0.011478982865810394, 0.0152108334004879, 0.02939816378057003, 0.01008544396609068, -0.0005265137297101319, -0.02483176440000534, 0.018926937133073807, -0.00408614007756114, -0.005589902866631746, -0.0316341258585453, -0.01248674001544714, 0.003739723702892661, 0.006955885794013739, -0.002747712656855583, 0.0028402216266840696, 0.0034425139892846346, -0.0022418659646064043, -0.03432672470808029, 0.01146323699504137, -0.037696413695812225, 0.012045846320688725, -0.00018329566228203475, 0.024705795571208, 0.013896025717258453, -0.0037220090162009, 0.021777000278234482, 0.0004303142486605793, 0.022280879318714142, 0.0005304502556100488, -0.035177022218704224, -0.013447258621454239, -0.0032063208054751158, 0.01177816092967987, -0.005818222649395466, 0.0005151961231604218, 0.006365403067320585, -0.00481440220028162, -0.0018964335322380066, -7.448693213518709e-05, -0.014029867947101593, -0.01160495262593031, 0.009014702402055264, 0.001914147986099124, -0.009644550271332264, 0.030185474082827568, -0.004389254376292229, -0.008140787482261658, -0.01606900244951248, 0.0010451542912051082, -0.001415190170519054, 0.015069117769598961, -0.01008544396609068, -0.033161506056785583, -0.00288155535236001, -0.004145188257098198, 0.026422131806612015, 0.019320592284202576, 0.03464164957404137, -0.014045614749193192, -0.007503066677600145, -0.010998724028468132, -0.01965126395225525, 0.02067476697266102, 0.015273818746209145, -0.004184553865343332, -0.010282271541655064, 0.01824985072016716, -0.00976264663040638, -0.0031236533541232347, -0.005711935926228762, 0.004235729109495878, 0.008203772827982903, -0.00251939264126122, 0.006983441766351461, 0.006310291588306427, -0.03128770738840103, 0.014376284554600716, 0.020596034824848175, -0.018281344324350357, -0.018045149743556976, -0.001103218412026763, 0.00027039184351451695, -0.0030705099925398827, -0.01573045924305916, -0.014226695522665977, 0.005959938280284405, -0.013108715415000916, -0.008778508752584457, 0.023005204275250435, 0.04273520037531853, -0.010534211061894894, 0.002596155507490039, -0.01645478419959545, -0.00388340768404305, -0.026815786957740784, 0.002192659070715308, -0.010408241301774979, -0.00943984929472208, 0.0158485546708107, -0.003322449279949069, -0.009274514392018318, 0.011912004090845585, -0.01539191510528326, -0.0152108334004879, 0.012211182154715061, 0.02583952248096466, 0.017415301874279976, -0.00987287051975727, -0.01773022674024105, -0.0038164863362908363, 0.0037377553526312113, -0.011982861906290054, -0.0012262356467545033, 0.013888152316212654, 0.010298017412424088, -0.009148544631898403, -0.004672686103731394, 0.0009678995120339096, -0.0013167763827368617, 0.0054875523783266544, 0.007085792254656553, 0.017399556934833527, 0.009069813415408134, -0.02294222079217434, 0.0028166023548692465, 0.007022807374596596, -0.013636212795972824, 0.024170424789190292, -0.009644550271332264, -0.01242375560104847, 0.029996519908308983, -0.0058969538658857346, -0.00048198149306699634, 0.03204352781176567, -0.0003114796127192676, 0.00913279876112938, -0.02952413447201252, 0.01051059179008007, 0.0005535774980671704, 0.005223803222179413, 0.002968159504234791, -0.005731618497520685, -0.008857239969074726, 0.0024544396437704563, -0.011274282820522785, 0.011408125050365925, -0.007259000558406115, 0.005920573137700558, -0.012242673896253109, 0.0009324705461040139, 0.009298133663833141, 0.014958894811570644, 0.04736458510160446, 0.004483731929212809, 0.008408472873270512, 0.019336339086294174, -0.005810349714010954, -0.009990966878831387, 0.023335875943303108, 0.012494613416492939, -0.0035507690627127886, 0.007581797428429127, -0.018407313153147697, -0.0018147501396015286, 0.0008438981603831053, -0.01736806333065033, -0.005711935926228762, -0.00697163213044405, -0.017462540417909622, -0.0033657513558864594, 0.04015282168984413, -0.014565239660441875, 0.008928097784519196, 0.011447491124272346, 0.0017084631836041808, 0.003300798125565052, -0.0023638990242034197, 0.0012656012549996376, 0.01280953735113144, -0.011227044276893139, 0.015510011464357376, 0.018454551696777344, 0.009502834640443325, -0.02295796573162079, -0.015265945345163345, 0.01475419383496046, -0.006668517831712961, 0.00016607325233053416, 0.00810929574072361, 0.020202379673719406, 0.014242442324757576, 0.00576704740524292, 0.0067984238266944885, -0.008935971185564995, 0.0009368991595692933, 0.016911424696445465, 0.022485580295324326, -0.029051747173070908, 0.00031295581720769405, 0.005530854221433401, -0.0017980197444558144, 0.00026399496709927917, -0.005263168830424547, 0.013329162262380123, 0.013069350272417068, -0.004963991232216358, 0.0017350349808111787, -0.003409053198993206, 0.014840797521173954, -0.009400484152138233, 0.00937686488032341, 0.006133146584033966, 0.00032427339465357363, -0.00721963495016098, 0.001130774267949164, -0.002411137567833066, -0.023776769638061523, -0.0042081731371581554, -0.015250199474394321, 0.004227856174111366, 0.010526337660849094, -0.0035488009452819824, 0.0008935971418395638, 0.03144517168402672, 0.000392670975998044, 0.023886991664767265, 0.0027693638112396, -0.02621743083000183, -0.01861201412975788, 0.0404992401599884, -0.011990734376013279, -0.006853535771369934, 0.008416346274316311, 0.012431629002094269, -0.010282271541655064, -0.013848787173628807, -0.011447491124272346, 0.0008148660999722779, 0.009345372207462788, 0.012502486817538738, -0.023509083315730095, 0.0019200528040528297, 0.0058969538658857346, 0.0018550996901467443, 0.002113928087055683, -0.0032279719598591328, -0.012360770255327225, -0.0016996059566736221, -0.015801316127181053, -0.013423639349639416, 0.007243254221975803, 0.0026315844152122736, 0.02776055969297886, -0.0014801432844251394, 0.012053719721734524, -0.011053835973143578, -0.015935158357024193, -0.011415998451411724, 0.019367830827832222, -0.008010881952941418, -0.009904362261295319, 0.0171161238104105, 0.006416578311473131, 0.006546484772115946, -0.014392031356692314, -0.014848670922219753, 0.0027181885670870543, 0.002127705840393901, -0.007436145097017288, 0.00035945631680078804, 0.003690516809001565, -0.004397127777338028, -0.004944308195263147, -0.0017911307513713837, 0.017903434112668037, -0.02941391058266163, -0.012589090503752232, -0.006219750735908747, 0.006522865500301123, 0.004464048892259598, 0.0034523552749305964, 0.0034425139892846346, 0.0025508850812911987, 0.00983350444585085, -0.000918200530577451, -0.0076605286449193954, 0.028043990954756737, 0.005566283129155636, -0.0026847277767956257, 0.02267453446984291, 0.012904014438390732, -0.030374428257346153, -0.0008872002363204956, 0.00424360204488039, 0.02051730453968048, -0.023036697879433632, 0.016627991572022438, -0.011486856266856194, -0.015761950984597206, -0.021099913865327835, -0.022280879318714142, -0.008282504044473171, -0.0004652511270251125, -0.015628108754754066, -0.014998259954154491, -0.004940371494740248, 0.006625215522944927, -0.013179573230445385, 0.0018560838652774692, 0.004700242076069117, 0.0023717719595879316, -0.024674301967024803, -0.0031098753679543734, -0.022107671946287155, -0.007932150736451149, 0.008298249915242195, -0.01861201412975788, -0.01355748251080513, -0.0142660615965724, -0.00160119216889143, -0.00032205908792093396, 0.0019200528040528297, -0.012022227048873901, -0.012360770255327225, -0.0006455943803302944, 0.017320824787020683, 0.0009792171185836196, 0.004353825468569994, -0.02368229255080223, 0.022658787667751312, 0.011762415058910847, 0.02431214042007923, 0.013770055957138538, 0.006436261348426342, 0.008518696762621403, 0.027729066088795662, 0.022737519815564156, 0.02051730453968048, -0.0285321231931448, -0.02292647399008274, 0.005735555198043585, 0.0010067729745060205, 0.0049679274670779705, 0.036184776574373245, 0.0014584922464564443, 0.003905058838427067, 0.025918252766132355, -0.0202496200799942, -0.011667937971651554, 0.01991894841194153, -0.010423987172544003, -0.0022398976143449545, -0.007936087436974049, 0.007507002912461758, -0.013911771588027477, 0.01572258584201336, 0.020123649388551712, -0.0017606224864721298, -0.014021995477378368, 0.003580293385311961, 0.022391103208065033, 0.008912351913750172, -0.01645478419959545, 0.00440106401219964, -0.004188490565866232, 0.0023422478698194027, -0.00888085924088955, 0.023272890597581863, 0.0017143680015578866, 0.014872290194034576, 0.00799513515084982, 0.014140091836452484, 0.01762000285089016, 0.003962138667702675, -0.011203425005078316, -0.005503298714756966, 0.014565239660441875, 0.001233124639838934, -0.0023796451278030872, -0.006148892920464277, 0.003847978776320815, -0.027319664135575294, -0.02089521288871765, -0.01153409481048584, 0.031350694596767426, 0.0020863721147179604, 0.003328354097902775, 0.0152108334004879, 0.0058615244925022125, 0.006259116344153881, 0.002174944616854191, -0.007329858373850584, -0.007873102091252804, -0.016816945746541023, -0.008195899426937103, 0.0026866961270570755, 4.560863453662023e-05, 0.006129210349172354, 0.003879471216350794, -0.023367367684841156, -0.02544586732983589, -3.60748017556034e-05, -0.014880163595080376, -0.016627991572022438, -0.001232140464708209, 0.010313764214515686, 0.016753962263464928, -0.010038205422461033, -0.02105267532169819, -0.019352085888385773, -0.0011593142990022898, 0.015903666615486145, 0.02785503678023815, -0.009187910705804825, -0.00535764591768384, 0.005782793741673231, 0.015297438018023968, 0.02609146200120449, -0.038704171776771545, 0.009927982464432716, 0.007203888613730669, 0.03536597639322281, -0.01064443401992321, 0.013927518390119076, 0.02155655436217785, -0.01636030711233616, -0.006700010038912296, 0.03700358048081398, -0.0012744584819301963, 0.022391103208065033, -0.016139859333634377, 0.00043646511039696634, -0.002877618884667754, -0.001989926677197218, 0.011132566258311272, -0.01121917087584734, 0.012124577537178993, 0.0023678354918956757, 0.02801249735057354, -0.005755237769335508, 0.021887224167585373, -0.01007757056504488, -0.011297902092337608, -0.014486508443951607, -0.007455827668309212, -0.011935623362660408, -0.00976264663040638, -0.02332012914121151, -0.018297089263796806, -0.00288352370262146, -0.003544864244759083, -0.011164058931171894, -0.0142581881955266, 0.02394997701048851, 0.001074678497388959, 0.00697163213044405, -0.007333794608712196, 0.011187678202986717, -0.001207537017762661, 0.014203076250851154, 0.00497580086812377, -0.0025548217818140984, -0.02927219495177269, 0.011069581843912601, -0.006613405887037516, 0.007105474825948477, -0.01007757056504488, -0.002544980263337493, -0.005881207529455423, -0.004613637924194336, -0.007542431820183992, 0.00816440675407648, -0.007770752068608999, -0.011242790147662163, -0.026280416175723076, 0.011242790147662163, 0.026170192286372185, 0.007034617010504007, 0.00624337000772357, -0.0071290940977633, -0.0008114216034300625, -0.028721077367663383, -0.010786150582134724, -0.010353129357099533, -0.0008596443803980947, -0.008975336328148842, -0.034673143178224564, -0.008518696762621403, -0.01634456031024456, 0.004582145716995001, 0.008313995786011219, 0.015218706801533699, 0.012935507111251354, 0.0002050697075901553, 0.026784293353557587, -0.006314228288829327, -0.0025331706274300814, -0.003727913834154606, 7.030434062471613e-05, 0.011376633308827877, 0.02621743083000183, 0.0043656351044774055, 0.0002908127207774669, 0.016029635444283485, 0.01876947656273842, 0.004586081951856613, 0.00449554156512022, 0.01621859148144722, -0.0025981238577514887, 0.015620235353708267, -0.003826327621936798, 0.021603792905807495, -0.00401725061237812, -0.021336106583476067, -0.006700010038912296, -0.010179921053349972, 0.011132566258311272, -0.015092737041413784, 0.010557830333709717, -0.02812272123992443, -0.04623085632920265, 0.018674999475479126, -0.028327422216534615, 0.005790666677057743, -0.033507924526929855, -0.020344097167253494, 0.004767163656651974, 0.016565008088946342, 0.014722701162099838, 0.003176796715706587, 0.015769824385643005, 0.014053487218916416, -0.019792979583144188, -0.013738563284277916, -0.005089960526674986, 0.018848206847906113, 0.010384622029960155, 0.016021763905882835, 0.00017529954493511468, 0.011006597429513931, -0.0028146340046077967, -0.0060701617039740086, 0.004448303021490574, -0.014951021410524845, 0.01710037887096405, -0.007101538125425577, -0.012392262928187847, -0.012408008798956871, -0.015092737041413784, 0.024611318483948708, -0.004279030952602625, 0.014234568923711777, 0.009085560217499733, 0.011801780201494694, 0.013431512750685215, 0.00608197133988142, 0.03662567213177681, -0.025146689265966415, -0.007121221162378788, 0.0036767388228327036, 0.00737709691748023, -0.017194855958223343, 0.00045122718438506126, 0.010502718389034271, -0.0014968735631555319, -0.006408705376088619, 0.020470065996050835, -0.001258712261915207, -0.00471992464736104, -0.0011967115569859743, 0.013045731000602245, 0.024044454097747803, 0.0005452123587019742, -0.012880395166575909, 0.011880511417984962, -0.029996519908308983, 0.0067157563753426075, 0.0015323025872930884, 0.006290608551353216, 0.007495193276554346, -0.029445402324199677, 0.0069322665221989155, 0.03391732648015022, -0.009431976824998856, -0.019714247435331345, 0.02229662612080574, -0.008266757242381573, -0.006278798915445805, 0.012045846320688725, -0.00236193067394197, 0.002426883904263377, 0.00955794658511877, 0.0036826436407864094, 0.006892900913953781, -0.01210095826536417, 0.004901006352156401, 0.00020408557611517608, -0.003981821704655886, -0.0027713319286704063, -0.02114715240895748, -0.012951252982020378, -0.005735555198043585, 0.006078035105019808, -0.016250083222985268, -0.0001238168333657086, 0.011250663548707962, -0.010951485484838486, -0.0070070610381662846, 6.34153766441159e-05, 0.014738447964191437, 0.020186634734272957, -0.01000671274960041, -0.013415765948593616, 0.0016307163750752807, -0.003613753942772746, 0.007573924493044615, -0.009101306088268757, 0.0016927169635891914, 0.00874701701104641, 0.00037101993802934885, 0.007428272161632776, 0.006601596251130104, 0.009707535617053509, -0.012565471231937408, 0.011770287528634071, -0.00037913909181952477, 0.003224035492166877, 0.0013531894655898213, 0.005940255708992481, 0.018785221502184868, 0.009266640990972519, 0.013588974252343178, -0.007510939612984657, -0.0005147040355950594, -0.0139353908598423, -0.020092157647013664, -0.013337035663425922, -0.03684611991047859, 0.014706955291330814, -0.009487087838351727, 0.008707650937139988, 6.821304850745946e-05, 0.006207941100001335, 0.018533281981945038, -0.003033112734556198, 0.010361002758145332, 0.011030216701328754, -0.009888616390526295, -0.00535764591768384, 0.016753962263464928, -0.015084863640367985, 0.009156418032944202, -0.010046078823506832, 0.009392610751092434, 0.008644666522741318, -0.027729066088795662, -0.005593839101493359, -0.01273867953568697, -0.020312603563070297, -0.017210600897669792, 0.014919528737664223, -0.009219402447342873, -0.011675810441374779, -0.0021946271881461143, 0.010982978157699108, -0.01572258584201336, -0.011935623362660408, 0.014210949651896954, -0.006416578311473131, -0.0183915663510561, 0.0018491948721930385, -0.005806413013488054, 0.014470761641860008, -0.01337640080600977, 0.0007833736599422991, -0.010298017412424088, -0.014478635042905807, 0.012699314393103123, -0.021084168925881386, 0.002639457583427429, -0.010935738682746887, 0.024642810225486755, 0.002143452176824212, 0.007869165390729904, 0.0048419577069580555, 0.007636909373104572, -0.011195551604032516, 0.01606900244951248, 0.011305774562060833, 0.003475974779576063, 0.010486972518265247, -0.004227856174111366, 0.004621510859578848, 0.01191987656056881, -0.015407660976052284, 0.0018167183734476566, -0.007329858373850584, -0.010951485484838486, 0.012573344632983208, 0.0005240533500909805, -0.01837582141160965, -0.02141483873128891, 0.026800040155649185, -0.010242906399071217, -0.008022691123187542, 0.01773022674024105, -0.0049679274670779705, 0.0006849599303677678, 0.0015618266770616174, 0.0004130918241571635, 0.025335643440485, 0.013833040371537209, 0.009715408086776733, 0.008392727002501488, 0.024879002943634987, 0.002192659070715308, 0.0029720962047576904, -0.015549377538263798, -0.010211413726210594, 0.006727566011250019, -0.019304847344756126, 0.0023205969482660294, -0.0015815094811841846, 0.02042282745242119, -0.003586198203265667, -0.003515340154990554, -0.005680443253368139, 0.010526337660849094, -0.01606900244951248, 0.016423290595412254, -0.004117632284760475, -0.010794023051857948, 0.016753962263464928, 0.010368876159191132, 0.005664696916937828, -0.0013315384276211262, -0.01464396994560957, -0.004302650224417448, -0.0017744004726409912, 0.0007735323160886765, -0.013006364926695824, 0.0177617184817791, 0.015998143702745438, 0.02114715240895748, 0.016690976917743683, -0.010841261595487595, 0.019210370257496834, 0.0036373732145875692, -0.0006273878389038146, -0.012762298807501793, 0.001337443245574832, 0.006133146584033966, -0.0024386935401707888, 0.0048025925643742085, -0.005959938280284405, 0.00791640393435955, -0.002619774779304862, 0.024249155074357986, -0.017667241394519806, 0.006865345407277346, 0.016250083222985268, 0.013470877893269062, -0.007821926847100258, 0.001833448652178049, 0.007625099737197161, 0.0008655491983518004, -0.0074007161892950535, 0.004025123547762632, 0.011290028691291809, 0.0012409978080540895, -0.0009590422851033509, -0.007404652889817953, 0.006282735615968704, 0.0011130598140880466, 0.017525525763630867, 0.0075345588847994804, 0.019541040062904358, -0.002749681007117033, -0.016502022743225098, -0.011597080156207085, 0.001962370704859495, -0.0011475046630948782, -0.0016464624786749482, 0.007262936793267727, -0.002913047792389989, 0.009975221008062363, 0.012573344632983208, 0.009014702402055264, 0.006148892920464277, 0.00033337666536681354, 0.021997448056936264, 0.027335410937666893, -0.003720040898770094, 0.0056961895897984505, -0.01064443401992321, -0.010919992811977863, -0.040247298777103424, -0.0056135221384465694, -0.0120301004499197, 0.011345140635967255, -0.008376981131732464, -0.02267453446984291, -0.009754774160683155, 0.0164862759411335, -0.04194789007306099, 0.010038205422461033, 0.010612942278385162, 0.022107671946287155, -0.0074440180324018, 0.003639341564849019, -0.014273934066295624, -0.0003132018609903753, 0.012691440992057323, -0.028799807652831078, -0.006829916033893824, -8.531244384357706e-05, 0.003216162323951721, 0.02042282745242119, -0.003962138667702675, 0.027303919196128845, -0.002586314221844077, 0.00240720110014081, 0.01160495262593031, 0.030059505254030228, -0.0032102575059980154, 0.013218938373029232, -0.002176912734284997, -0.018218358978629112, -0.0019357990240678191, -0.029461149126291275, -0.006644898559898138, 0.006125273648649454, -0.020706258714199066, -0.013092969544231892, 0.010880627669394016, -0.010778277181088924, -7.942299816932064e-06, -0.026044221594929695, -0.010935738682746887, -0.0068102334626019, -0.005869397893548012, 0.02053305134177208, 0.004168807528913021, 0.0003776628873310983, 0.012447374872863293, 0.0026827596593648195, 0.00021269677381496876, -0.012329278513789177, -0.030327189713716507, 0.009219402447342873, -0.0034976257011294365, 0.010620814748108387, -0.005503298714756966, -0.017147617414593697, -0.026059968397021294, -0.01184901874512434, -0.012872522696852684, -0.013116588816046715, -0.010738911107182503, -0.009786265902221203, 0.004897069651633501, 0.011187678202986717, 0.004621510859578848, 0.003826327621936798, 0.012321405112743378, -0.007388906553387642, -0.014392031356692314, 0.02240685001015663, -0.02520967274904251, 0.003460228443145752, 0.008526570163667202, 0.00393064646050334, -0.0018797031370922923, 0.0059560020454227924, -0.02650086209177971, -3.210749491699971e-05, -0.013470877893269062, -0.0025528534315526485, -0.01938357762992382, 0.028280183672904968, -0.0026276479475200176, 0.019446562975645065, 0.010628688149154186, 0.005314344074577093, 0.015746204182505608, 0.00976264663040638, -0.011951369233429432, -0.007636909373104572, 0.005530854221433401, -0.02028111182153225, -0.005030912347137928, 0.005298597738146782, -0.021210137754678726, 0.01210095826536417, 0.012297785840928555, 0.015927286818623543, 0.020989689975976944, -0.019588278606534004, -0.0066724540665745735, -0.022343864664435387, -0.0016464624786749482, 0.004361698869615793, 0.011455363593995571, 0.004070393741130829, 0.0008817874477244914, 0.0013138239737600088, -0.004448303021490574, 0.022123416885733604, 0.00440500071272254, -0.0014968735631555319, 0.006452007219195366, -0.0030449223704636097, 0.006554357707500458, 0.0031059389002621174, -0.013683452270925045, 0.0005565299070440233, -0.006353593431413174, 0.013864533044397831, -0.0034779428970068693, -0.023650798946619034, 0.01596665196120739, 0.010471225716173649, 0.010841261595487595, 0.0025981238577514887, 0.0003894725232385099, 0.0020588161423802376, 0.0035291181411594152, 0.0073495409451425076, -0.01058144960552454, 0.019352085888385773, -0.007424335461109877, 0.0011721081100404263, 0.016816945746541023, 0.009274514392018318, -0.0031827015336602926, 0.007018870674073696, 0.0006490388768725097, -0.004310523625463247, 0.01861201412975788, 0.008432092145085335, 0.002704410580918193, 0.036058809608221054, 0.005582029465585947, -0.0014014121843501925, 0.0028756505344063044, 0.0029150161426514387, 0.012368643656373024, 0.0014329046243801713, 0.009487087838351727, 0.011140439659357071, 0.006522865500301123, 0.0012862681178376079, 0.013179573230445385, 0.016171352937817574, -0.014116472564637661, -0.009258768521249294, -0.0024012962821871042, 0.008581681177020073, -0.004735670983791351, 0.008258884772658348, -2.0021052478114143e-05, -0.01813962683081627, 0.004397127777338028, 0.009920109063386917, -0.007943959906697273, -0.007676274981349707, -0.011486856266856194, -0.005574156530201435, -0.015887919813394547, 0.01152622140944004, 0.0021414838265627623, 0.014226695522665977, -0.0026315844152122736, -0.023146919906139374, 0.019415071234107018, -0.00664883479475975, 0.0028185707051306963, -0.00803450122475624, 0.017399556934833527, -0.004204236436635256, -0.008054183796048164, -0.0164705291390419, -0.013667705468833447, 0.015628108754754066, -0.004042838234454393, -0.02042282745242119, 0.003989694640040398, -0.0029189526103436947, 0.017194855958223343, -0.0018678935011848807, -0.00983350444585085, 0.0003562578931450844, 0.021210137754678726, -0.0272566806524992, -0.023351620882749557, -0.018438804894685745, 0.010998724028468132, -0.010486972518265247, -0.0038637248799204826, -0.008085676468908787, 0.00880212802439928, 0.017147617414593697, -0.004948244895786047, 0.004294777289032936, 0.007471574004739523, 0.007959706708788872, 0.0133055429905653, -0.0028185707051306963, -0.0013905867235735059, 0.009400484152138233, -0.011408125050365925, -0.007739259395748377, 0.005204120650887489, 0.0007090712897479534, -0.00471992464736104, -0.0008822795352898538, -0.003905058838427067, -0.00931388046592474, -0.0253513902425766, 0.007821926847100258, -0.03347643092274666, -0.012447374872863293, -0.0028402216266840696, 0.007093665190041065, 0.02801249735057354, 0.0015401756390929222, 0.002277294872328639, -0.00029548737802542746, 0.008125041611492634, 0.008282504044473171, -0.007892784662544727, 0.02420191653072834, 0.013604721054434776, -0.0025252974592149258, -0.0070661092177033424, 0.005818222649395466, 0.028847046196460724, 0.0002920428814832121, 0.015431280247867107, -0.006078035105019808, -0.002102118218317628, 0.00535764591768384, -0.01121917087584734, -0.00912492536008358, 0.004897069651633501, 0.009510708041489124, -0.005054531618952751, -0.02017088793218136, 0.013014238327741623, -0.011447491124272346, -0.0009236133191734552, 0.002621743129566312, -0.0020607844926416874, -0.017840450629591942, -0.01599027030169964, -0.014840797521173954, 0.007668401580303907, -0.005743428133428097, 0.019336339086294174, -0.02812272123992443, 0.003115780185908079, -0.003513371804729104, -0.026579594239592552, 0.006766931619495153, 0.021084168925881386, -0.01950954832136631, -0.011124693788588047, 0.013344908133149147, -0.008321869187057018, 0.0001590612664585933, -0.012360770255327225, -0.01990320347249508, -0.017966419458389282, -0.0005516092060133815, 0.005999303888529539, 0.0031571141444146633, -0.016407545655965805, 0.0037613746244460344, -0.0005063388962298632, -0.018958430737257004, 0.011549840681254864, -0.0034917208831757307, 0.006644898559898138, -0.005365519318729639, 0.004641193896532059, 0.009676042944192886, 0.0003653611638583243, 0.004042838234454393, -0.0007774688419885933, 0.018155373632907867, 0.001312839798629284, 0.0029740643221884966, -0.00017726782243698835, 0.0133134163916111, 0.022627295926213264, -0.014951021410524845, 0.008699778467416763, -0.004507351201027632, -0.026926010847091675, 0.004479795228689909, -0.0010569640435278416, -0.006577976979315281, 0.005306471139192581, -0.02862660028040409, -0.016549261286854744, -0.016171352937817574, 0.0148959094658494, -0.027209442108869553, -0.013463005423545837, 0.005593839101493359, -0.0027969195507466793, 0.011415998451411724, -0.010140555910766125, 0.013754310086369514, 0.014281807467341423, -0.005385201890021563, -0.019210370257496834, -0.00345038715749979, -0.005105706863105297, -0.009723281487822533, -0.015376169234514236, -0.009117052890360355, -0.010148429311811924, 0.01636030711233616, -0.018659252673387527, 0.005459996405988932, -0.015289564616978168, -0.006822043098509312, -0.03253166005015373, 0.013659832067787647, -0.023225652053952217, 0.006141019985079765, 0.001732082455419004, -0.011431744322180748, 0.009518580511212349, -0.0005845778505317867, 0.002171007916331291, 0.005546600557863712, -0.003430704353377223, 0.011707303114235401, 0.013100842013955116, 0.00440500071272254, 0.012722933664917946, 0.0026827596593648195, -0.0007922309450805187, -0.0068062967620790005, -0.009266640990972519, -0.016769707202911377, -0.003844042308628559, 0.011171932332217693, 0.01661224663257599, 0.006274862680584192, -0.03621627017855644, 0.023603560402989388, -0.0031256217043846846, 0.011801780201494694, -0.027666080743074417, -0.0025036465376615524, 0.0006913567776791751, -0.03180733323097229, 0.009542199783027172, 0.006089844740927219, 0.020958198234438896, 0.022202149033546448, -0.026406385004520416, 0.012565471231937408, -0.007664464879781008, 0.003198447870090604, 0.004916752222925425, -0.013037857599556446, -0.0023698038421571255, -0.009408357553184032, 0.01407710649073124, 0.0129906190559268, 0.004597891587764025, -0.019966186955571175, -0.027146456763148308, -0.004397127777338028, 0.011376633308827877, 0.006668517831712961, 0.018060896545648575, 0.026453623548150063, 0.0033362270332872868, 0.015494265593588352, 0.0063811494037508965, -0.017194855958223343, 0.00024111375387292355, -0.0002543996088206768, -0.014864416792988777, 0.01057357620447874, -0.01684843935072422, 0.011376633308827877, -0.02269028127193451, -0.029476895928382874, 0.013588974252343178, -0.0018039245624095201, 0.009888616390526295, 0.007203888613730669, -0.007688084617257118, -0.00576311070472002, 0.0031827015336602926, 0.0013699198607355356, -0.02179274708032608, -0.0054442500695586205, -0.027540111914277077, -0.026800040155649185, -0.0023481526877731085, -0.0011189646320417523, 0.0037101993802934885, 0.007975452579557896, 0.0053025344386696815, -0.003753501456230879, -0.009164291433990002, -0.026910264045000076, 0.00936899147927761, 0.013415765948593616, 0.016879931092262268, -0.005263168830424547, 0.02483176440000534, 0.026437876746058464, -0.00497186416760087, -0.012581217102706432, -0.0008970415801741183, 0.004731734283268452, -0.006436261348426342, -0.0046766228042542934, -0.021194390952587128, 0.0008581681759096682, 0.012636329047381878, -0.02623317763209343, -0.002853999612852931, 0.016391798853874207, -0.0012272198218852282, -0.009636676870286465, -0.02925644814968109, 0.0072747464291751385, 0.003113812068477273, -0.012589090503752232, 0.01798216626048088, 0.01750977896153927, -0.011927749961614609, -0.005747364833950996, 0.017714479938149452, 0.0031236533541232347, -0.003505498869344592, 0.006459880620241165, 0.003844042308628559, 0.009164291433990002, -0.009266640990972519, -0.004786846227943897, -0.02114715240895748, -0.01128215529024601, 0.022233640775084496, 0.017431048676371574, -0.0014023963594809175, 0.0018462424632161856, 0.021588046103715897, -0.020485812798142433, -0.007546368520706892, -0.005416694562882185, 0.013392146676778793, 0.0024741224478930235, -0.020501557737588882, -0.00018526393978390843, 0.01146323699504137, -0.0008822795352898538, 0.018297089263796806, -0.011085327714681625, 0.007841610349714756, 0.018470298498868942, -0.008644666522741318, 0.01991894841194153, -0.0073495409451425076, -0.003745628520846367, -0.003430704353377223, -0.005566283129155636, 0.01032951008528471, -0.014990386553108692, -0.023855499923229218, -0.005743428133428097, 0.0004792750987689942, 0.026406385004520416, 0.012211182154715061, -0.0018472266383469105, 0.015328929759562016, 0.02143058367073536, 0.0008926129667088389, 0.0126756951212883, -0.00969966221600771, -0.003688548458740115, -0.0064638168551027775, -0.01621859148144722, -0.011447491124272346, -0.0013276018435135484, -0.019100146368145943, 0.0018747824942693114, 0.01686418429017067, 0.0026119016110897064, 0.016313068568706512, 0.01798216626048088, 0.008872986771166325, 0.006105591077357531, 0.015439153648912907, -0.0076605286449193954, 0.018706491217017174, -0.015998143702745438, 0.002387518296018243, -0.010731038637459278, -0.011266409419476986, 0.0139353908598423, -0.006613405887037516, -0.018076643347740173, 0.03382284939289093, -0.002485932083800435, 0.005208057351410389, 0.0013423638883978128, 0.01621859148144722, 0.013636212795972824, -0.026658324524760246, -0.01418733038008213, 0.005499362014234066, -0.0107625313103199, 0.03220098838210106, 0.0062394337728619576, -0.0042081731371581554, -0.0029563498683273792, -0.01597452536225319, -0.015336803160607815, 0.005235612858086824, -0.012612709775567055, -0.014021995477378368, -0.010872754268348217, 0.005853651557117701, 0.012746552936732769, -0.012360770255327225, -0.015021879225969315, 0.0012459184508770704, -0.013722817413508892, -0.021131407469511032, -0.024658557027578354, 0.008479331620037556, 0.020470065996050835, 0.010022459551692009, -0.003324417397379875, -0.04541205242276192, 0.011486856266856194, -0.009022574871778488, -0.0019505610689520836, -0.00874701701104641, 0.032626137137413025, 0.0013561418745666742, 0.003351973369717598, -0.025130942463874817, 0.0017409397987648845, 0.008723397739231586, 0.00267882295884192, 0.0018462424632161856, -0.0021257377229630947, -0.005707999225705862, 0.0005073230131529272, -0.0011602984741330147, -0.009746900759637356, 0.009707535617053509, 0.01724209450185299, -0.015163594856858253, 0.0022103735245764256, -0.006078035105019808, -0.034043293446302414, 0.004704178776592016, 0.004263285081833601, -0.017147617414593697, -0.02089521288871765, -0.001467349473387003, -0.02839040756225586, -0.013494497165083885, -0.007987262681126595, -0.0005826095584779978, -0.0228005051612854, -0.01388027984648943, 0.005648951046168804, -0.017305077984929085, 0.009739027358591557, 0.03265762701630592, 0.010794023051857948, 0.012935507111251354, 0.009077686816453934, 0.010534211061894894, 0.0009934870759025216, 0.005223803222179413, -0.006577976979315281, 0.011612826026976109, -0.014840797521173954, -0.013392146676778793, 0.016942916437983513, -0.018942683935165405, 0.013337035663425922, -0.004349889233708382, -0.010872754268348217, -0.00409007677808404, -0.006637025158852339, 0.010235032998025417, 0.012242673896253109, 0.020706258714199066, -0.02432788535952568, 0.0077668153680861, 0.01569896563887596, 0.011156185530126095, 0.003113812068477273, -0.007247190456837416, 0.004897069651633501, 0.0015116356080397964, 0.0038066450506448746, -0.0015047467313706875, -0.025256913155317307, 0.0030606684740632772, 0.00044384613283909857, -0.010534211061894894, 0.005641077645123005, 0.024028709158301353, -0.006617342587560415, 0.0011839177459478378, -0.012187561951577663, -0.015344676561653614, 0.011982861906290054, 0.0027359030209481716, -0.023855499923229218, 0.007522749248892069, -0.036814626306295395, -0.015289564616978168, -0.01670672371983528, 0.01873798295855522, 0.009904362261295319, 0.00994372833520174, -0.004275094717741013, -0.01887969858944416, 0.003540927777066827, -0.0023934231139719486, 0.00471992464736104, 0.05882782116532326, -0.01001458615064621, 0.0009196767932735384, -0.021761255338788033, 0.008652538992464542, 0.0008680095197632909, 0.0019564658869057894, -0.024296393617987633, -0.0054875523783266544, -0.00045836216304451227, 0.001520492834970355, -0.0001845258375396952, -0.008298249915242195, -0.005641077645123005, -0.004385318141430616, 0.011297902092337608, -0.006282735615968704, 0.004523097071796656, -0.00930600706487894, -0.0171161238104105, -0.009746900759637356, -0.004590018652379513, 0.009006829001009464, 0.001047122641466558, 0.024422364309430122, -0.0053025344386696815, -0.012510359287261963, 0.006050479132682085, -0.008518696762621403, -0.03079957701265812, 0.021635284647345543, -0.024154677987098694, 0.002143452176824212, -6.864361057523638e-05, -0.01064443401992321, 0.003464164910838008, -0.03435821831226349, -0.0048773870803415775, 0.016391798853874207, -0.009613057598471642, 0.0142581881955266, 0.003554705763235688, 0.011959242634475231, 0.010864880867302418, -0.014368412084877491, -0.006829916033893824, 0.005830032285302877, -0.015132103115320206, -0.0016100493958219886, -0.023335875943303108, 0.000774024345446378, 0.005168691743165255, -0.005369455553591251, 0.03240568935871124, -0.021950209513306618, -0.004530970472842455, -0.0025882823392748833, 0.021603792905807495, -0.0055387276224792, 0.014053487218916416, 0.005908763501793146, -0.0026611085049808025, -0.00881000142544508, 0.0003259956429246813, 0.005841841921210289, 0.017588511109352112, -0.011297902092337608, -0.008518696762621403, 0.004818338435143232, -0.015494265593588352, 0.02484751120209694, -0.01000671274960041, 0.01242375560104847, 0.01089637354016304, 0.02064327336847782, -0.0016740183345973492, -0.020580289885401726, 0.0016405576607212424, 0.025697806850075722, -0.008770636282861233, 0.0164705291390419, -0.0020568480249494314, -0.000957073993049562, -0.00943984929472208, -0.018690744414925575, -0.02950838766992092, -0.006731502711772919, -0.0016622086986899376, 0.0310515146702528, -0.006483499892055988, 0.01952529326081276, 0.009794139303267002, -0.003668865654617548, -0.003046890487894416, 0.004901006352156401, -0.0035763566847890615, -0.011691557243466377, -0.002745744539424777, 0.00855806190520525, 0.0048773870803415775, -0.0005811333539895713, 0.011549840681254864, -0.01887969858944416, 0.0007700878195464611, 0.03131920099258423, -0.00640083197504282, 0.008888732641935349, 0.0071251573972404, 0.005971747916191816, -0.009101306088268757, -0.006680327467620373, -0.011723048985004425, -0.006558294408023357, -0.014478635042905807, 0.0017724321223795414, 0.001913163810968399, 0.002068657660856843, 0.003753501456230879, -0.002586314221844077, 0.007566051557660103, -0.02711496502161026, 0.008896606042981148, 0.0164705291390419, -0.0009664233075454831, -0.018060896545648575, -0.015801316127181053, -0.0016877963207662106, 0.004830148071050644, 0.0060386694967746735, -0.010620814748108387, 0.002643394051119685, 0.01450225431472063, 0.02938241697847843, 0.028453391045331955, 0.025036465376615524, 0.00873914361000061, 0.006066225469112396, -0.012219054624438286, 0.009203656576573849, 0.002048974856734276, -0.023398859426379204, 0.0060386694967746735, -0.005424567498266697, -0.010872754268348217, 0.015683220699429512, 0.0011061708210036159, -0.0019239893881604075, -0.009715408086776733, 0.006322101224213839, -0.0145809855312109, -0.0046687498688697815, 0.011990734376013279, 0.03867267817258835, -0.0028146340046077967, -0.005853651557117701, -0.01762000285089016, -0.01147111039608717, -0.020044919103384018, 0.01419520378112793, 0.013274050317704678, -0.010723165236413479, 0.017210600897669792, 0.007168459706008434, 0.0046254475601017475, 0.0142660615965724, -0.010518464259803295, -0.012951252982020378, -0.00671969261020422, 0.00034986098762601614, 0.013966883532702923, 0.0016070969868451357, 0.014203076250851154, -0.001782273524440825, 0.0068810912780463696, 0.01412434596568346, -0.015478518791496754, 0.02128886803984642, -0.015903666615486145, 0.008251011371612549, -0.021225884556770325, 0.005334026645869017, -4.161057586316019e-05, 0.03602731600403786, -0.013762182556092739, 0.00440500071272254, -0.0038401056081056595, -0.003954265732318163, 0.009014702402055264, -0.0002566139155533165, 0.014691208489239216, -0.0002895825309678912, -0.028185706585645676, -0.002828411990776658, 0.005818222649395466, -0.015171468257904053, 0.008006945252418518, -0.020627528429031372, 0.016407545655965805, -0.018029404804110527, -0.024170424789190292, 0.014533746987581253, 0.0011229012161493301, -0.02028111182153225, 0.0004876402672380209
            ],
            "page_number": 105
        }
    ]
}

Başvuru:Belgeler - Dizin

Bilgi kaynağı oluşturma

Bilgi kaynağı, kaynak verilere yeniden kullanılabilir bir başvurudur. Aşağıdaki kod, dizini hedefleyen earth-knowledge-source adlı earth-at-night bir bilgi kaynağını tanımlar.

### Create a knowledge source
POST {{search-url}}/knowledgesources?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

{
    "name": "{{knowledge-source-name}}",
    "description": "This knowledge source pulls from a search index that contains pages from the Earth at Night e-book.",
    "kind": "searchIndex",
    "searchIndexParameters": {
        "searchIndexName": "{{index-name}}",
        "sourceDataFields": [
            { "name": "id" },
            { "name": "page_chunk" },
            { "name": "page_number" }
        ]
    }
}

Başvuru:Bilgi Kaynakları - Oluşturma

Bilgi bankası oluşturma

Soruları yanıtlamak ve earth-knowledge-source ile gpt-5-mini dağıtımınızı hedeflemek için bir bilgi tabanınız olması gerekir. Aşağıdaki kod earth-knowledge-base adlı bir taban tanımlar.

outputMode olarak ayarlanır answerSynthesis ve alınan belgeleri alıntılayan ve sağlanan answerInstructions izleyen doğal dil yanıtlarını etkinleştirir.

### Create a knowledge base
PUT {{search-url}}/knowledgebases/{{knowledge-base-name}}?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

{
    "name": "{{knowledge-base-name}}",
    "knowledgeSources": [
        {
            "name": "{{knowledge-source-name}}"
        }
    ],
    "models": [
        {
            "kind": "azureOpenAI",
            "azureOpenAIParameters": {
                "resourceUri": "{{aoai-url}}",
                "deploymentId": "{{aoai-gpt-deployment}}",
                "modelName": "{{aoai-gpt-model}}"
            }
        }
    ],
    "outputMode": "answerSynthesis",
    "answerInstructions": "Provide a two sentence concise and informative answer based on the retrieved documents."
}

Başvuru:Bilgi Bankaları - Oluşturma

Alma işlem hattını çalıştır

Ajan temelli geri alma işlemini çalıştırmak için hazır durumdasınız. Aşağıdaki kod, earth-knowledge-base ögesine iki bölümden oluşan bir kullanıcı sorgusu gönderir.

Kullanıcının bilgi gereksinimini çıkarsamak için konuşmanın tamamını analiz eder.
Bileşik sorguyu odaklanmış alt sorgulara ayırır.
Bilgi kaynağınızda alt sorguları eşzamanlı olarak çalıştırır.
Sonuçları yeniden sıralamak ve filtrelemek için anlamsal sıralayıcıyı kullanır. Bu örnek, yeniden düzeltme puanı 2.5 veya daha düşük olan yanıtları dışlar.
En iyi sonuçları doğal dilde bir yanıt olarak sentezler.

### Run agentic retrieval
POST {{search-url}}/knowledgebases/{{knowledge-base-name}}/retrieve?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

{
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Why do suburban belts display larger December brightening than urban cores even though absolute light levels are higher downtown? Why is the Phoenix nighttime street grid is so sharply visible from space, whereas large stretches of the interstate between midwestern cities remain comparatively dim?"
                }
            ]
        }
    ],
    "knowledgeSourceParams": [
        {
            "knowledgeSourceName": "{{knowledge-source-name}}",
            "kind": "searchIndex",
            "includeReferences": true,
            "includeReferenceSourceData": true,
            "alwaysQuerySource": true,
            "rerankerThreshold": 2.5
        }
    ],
    "includeActivity": true,
    "retrievalReasoningEffort": { "kind": "low" }
}

Başvuru:Bilgi Getirme - Getirme

Çıktı aşağıdaki bileşenleri içerir:

response , alınan belgeleri alıntılayan sorguya sentezlenmiş, LLM tarafından oluşturulan bir yanıt sağlar. Yanıt sentezi etkinleştirilmediğinde, bu bölüm doğrudan belgelerden ayıklanan içeriği içerir.
activity dağıtımınız gpt-5-mini tarafından oluşturulan alt sorgular ve semantik derecelendirme, sorgu planlama ve yanıt sentezi için kullanılan belirteçler de dahil olmak üzere alma işlemi sırasında atılan adımları izler.
references , yanıta katkıda bulunan ve her biri tarafından docKeytanımlanan belgeleri listeler.

Kaynakları temizleme

Kendi aboneliğinizde çalışırken, artık ihtiyacınız olmayan kaynakları kaldırarak bir projeyi tamamlamak iyi bir fikirdir. Çalışır durumda kalan kaynaklar size pahalıya mal olabilir.

Aksi takdirde, aşağıdaki istekler agentic-retrieval.rest bu hızlı başlangıçta oluşturduğunuz nesneleri siler.

Bilgi bankasını silme

### Delete the knowledge base
DELETE {{search-url}}/knowledgebases/{{knowledge-base-name}}?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

Bilgi kaynağını silme

### Delete the knowledge source
DELETE {{search-url}}/knowledgesources/{{knowledge-source-name}}?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

Arama dizinini silme

### Delete the index
DELETE {{search-url}}/indexes/{{index-name}}?api-version={{api-version}}  HTTP/1.1
Content-Type: application/json
Authorization: Bearer {{token}}

Azure Yapay Zeka Arama'te Agentic retrieval
Bilgi bankası oluşturma
Getirme eylemini veya MCP uç noktasını kullanarak bilgi bankasını sorgulama
Eğitim: Uçtan uca ajansal erişim çözümü oluşturma

Geri Bildirim

Bu sayfayı yararlı buldunuz mu?

Last updated on 2026-08-05