Azure.Search.Documents.Indexes.Models Namespace

Classes

AIServicesVisionParameters

Specifies the AI Services Vision parameters for vectorizing a query image or text.

AIServicesVisionVectorizer

Specifies the AI Services Vision parameters for vectorizing a query image or text.

AnalyzedTokenInfo

Information about a token returned by an analyzer.

AnalyzeTextOptions

Specifies some text and analysis components used to break that text into tokens.

AsciiFoldingTokenFilter

Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. This token filter is implemented using Apache Lucene.

AzureMachineLearningParameters

Specifies the properties for connecting to an AML vectorizer.

AzureMachineLearningSkill

The AML skill allows you to extend AI enrichment with a custom Azure Machine Learning (AML) model. Once an AML model is trained and deployed, an AML skill integrates it into AI enrichment.

AzureMachineLearningVectorizer

Specifies an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog for generating the vector embedding of a query string.

AzureOpenAIEmbeddingSkill

Allows you to generate a vector embedding for a given text input using the Azure OpenAI resource.

AzureOpenAITokenizerParameters

The AzureOpenAITokenizerParameters.

AzureOpenAIVectorizer

Specifies the Azure OpenAI resource used to vectorize a query string.

AzureOpenAIVectorizerParameters

Specifies the parameters for connecting to the Azure OpenAI resource.

BinaryQuantizationCompression

Contains configuration options specific to the binary quantization compression method used during indexing and querying.

BM25Similarity

Ranking function based on the Okapi BM25 similarity algorithm. BM25 is a TF-IDF-like algorithm that includes length normalization (controlled by the 'b' parameter) as well as term frequency saturation (controlled by the 'k1' parameter).

CharFilter

Base type for character filters. Please note CharFilter is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MappingCharFilter and PatternReplaceCharFilter.

CjkBigramTokenFilter

Forms bigrams of CJK terms that are generated from the standard tokenizer. This token filter is implemented using Apache Lucene.

ClassicSimilarity

Legacy similarity algorithm which uses the Lucene TFIDFSimilarity implementation of TF-IDF. This variation of TF-IDF introduces static document length normalization as well as coordinating factors that penalize documents that only partially match the searched queries.

ClassicTokenizer

Grammar-based tokenizer that is suitable for processing most European-language documents. This tokenizer is implemented using Apache Lucene.

CognitiveServicesAccount

Base type for describing any Azure AI service resource attached to a skillset. Please note CognitiveServicesAccount is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CognitiveServicesAccountKey and DefaultCognitiveServicesAccount.

CognitiveServicesAccountKey

The multi-region account key of an Azure AI service resource that's attached to a skillset.

CommonGramTokenFilter

Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. This token filter is implemented using Apache Lucene.

ComplexField

A complex field or collection of complex fields that contain child fields. Child fields may be SimpleField or ComplexField.

ConditionalSkill

A skill that enables scenarios that require a Boolean operation to determine the data to assign to an output.

CorsOptions

Defines options to control Cross-Origin Resource Sharing (CORS) for an index.

CustomAnalyzer

Allows you to take control over the process of converting text into indexable/searchable tokens. It's a user-defined configuration consisting of a single predefined tokenizer and one or more filters. The tokenizer is responsible for breaking text into tokens, and the filters for modifying tokens emitted by the tokenizer.

CustomEntity

An object that contains information about the matches that were found, and related metadata.

CustomEntityAlias

A complex object that can be used to specify alternative spellings or synonyms to the root entity name.

CustomEntityLookupSkill

A skill looks for text from a custom, user-defined list of words and phrases.

CustomNormalizer

Allows you to configure normalization for filterable, sortable, and facetable fields, which by default operate with strict matching. This is a user-defined configuration consisting of at least one or more filters, which modify the token that is stored.

DataChangeDetectionPolicy

Base type for data change detection policies. Please note DataChangeDetectionPolicy is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include HighWaterMarkChangeDetectionPolicy and SqlIntegratedChangeTrackingPolicy.

DataDeletionDetectionPolicy

Base type for data deletion detection policies. Please note DataDeletionDetectionPolicy is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include NativeBlobSoftDeleteDeletionDetectionPolicy and SoftDeleteColumnDeletionDetectionPolicy.

DefaultCognitiveServicesAccount

An empty object that represents the default Azure AI service resource for a skillset.

DictionaryDecompounderTokenFilter

Decomposes compound words found in many Germanic languages. This token filter is implemented using Apache Lucene.

DistanceScoringFunction

Defines a function that boosts scores based on distance from a geographic location.

DistanceScoringParameters

Provides parameter values to a distance scoring function.

DocumentExtractionSkill

A skill that extracts content from a file within the enrichment pipeline.

EdgeNGramTokenFilter

Generates n-grams of the given size(s) starting from the front or the back of an input token. This token filter is implemented using Apache Lucene.

EdgeNGramTokenizer

Tokenizes the input from an edge into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.

ElisionTokenFilter

Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). This token filter is implemented using Apache Lucene.

EntityLinkingSkill

Using the Text Analytics API, extracts linked entities from text.

EntityRecognitionSkill

This skill is deprecated. Use the V3.EntityRecognitionSkill instead.

ExhaustiveKnnAlgorithmConfiguration

Contains configuration options specific to the exhaustive KNN algorithm used during querying, which will perform brute-force search across the entire vector index.

ExhaustiveKnnParameters

Contains the parameters specific to exhaustive KNN algorithm.

FieldMapping

Defines a mapping between a field in a data source and a target field in an index.

FieldMappingFunction

Represents a function that transforms a value from a data source before indexing.

FreshnessScoringFunction

Defines a function that boosts scores based on the value of a date-time field.

FreshnessScoringParameters

Provides parameter values to a freshness scoring function.

HighWaterMarkChangeDetectionPolicy

Defines a data change detection policy that captures changes based on the value of a high water mark column.

HnswAlgorithmConfiguration

Contains configuration options specific to the HNSW approximate nearest neighbors algorithm used during indexing and querying. The HNSW algorithm offers a tunable trade-off between search speed and accuracy.

HnswParameters

Contains the parameters specific to the HNSW algorithm.

ImageAnalysisSkill

A skill that analyzes image files. It extracts a rich set of visual features based on the image content.

IndexerChangeTrackingState

Represents the change tracking state during an indexer's execution.

IndexerExecutionResult

Represents the result of an individual indexer execution.

IndexerState

Represents all of the state that defines and dictates the indexer's current execution.

IndexingParameters

Represents parameters for indexer execution.

IndexingParametersConfiguration

A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.

IndexingSchedule

Represents a schedule for indexer execution.

InputFieldMappingEntry

Input field mapping for a skill.

KeepTokenFilter

A token filter that only keeps tokens with text contained in a specified list of words. This token filter is implemented using Apache Lucene.

KeyPhraseExtractionSkill

A skill that uses text analytics for key phrase extraction.

KeywordMarkerTokenFilter

Marks terms as keywords. This token filter is implemented using Apache Lucene.

KeywordTokenizer

Emits the entire input as a single token. This tokenizer is implemented using Apache Lucene.

KnowledgeStore

Definition of additional projections to azure blob, table, or files, of enriched data.

KnowledgeStoreFileProjectionSelector

Projection definition for what data to store in Azure Files.

KnowledgeStoreObjectProjectionSelector

Projection definition for what data to store in Azure Blob.

KnowledgeStoreProjection

Container object for various projection selectors.

KnowledgeStoreProjectionSelector

Abstract class to share properties between concrete selectors.

KnowledgeStoreStorageProjectionSelector

Abstract class to share properties between concrete selectors.

KnowledgeStoreTableProjectionSelector

Description for what data to store in Azure Tables.

LanguageDetectionSkill

A skill that detects the language of input text and reports a single language code for every document submitted on the request. The language code is paired with a score indicating the confidence of the analysis.

LengthTokenFilter

Removes words that are too long or too short. This token filter is implemented using Apache Lucene.

LexicalAnalyzer

Base type for analyzers. Please note LexicalAnalyzer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CustomAnalyzer, PatternAnalyzer, LuceneStandardAnalyzer and StopAnalyzer.

LexicalAnalyzerName.Values

The values of all declared LexicalAnalyzerName properties as string constants. These can be used in SearchableFieldAttribute and anywhere else constants are required.

LexicalNormalizer

Base type for normalizers. Please note LexicalNormalizer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CustomNormalizer.

LexicalNormalizerName.Values

The values of all declared LexicalNormalizerName properties as string constants. These can be used in SimpleFieldAttribute, SearchableFieldAttribute and anywhere else constants are required.

LexicalTokenizer

Base type for tokenizers. Please note LexicalTokenizer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ClassicTokenizer, EdgeNGramTokenizer, KeywordTokenizer, KeywordTokenizer, MicrosoftLanguageStemmingTokenizer, MicrosoftLanguageTokenizer, NGramTokenizer, PathHierarchyTokenizer, PatternTokenizer, LuceneStandardTokenizer, LuceneStandardTokenizer and UaxUrlEmailTokenizer.

LimitTokenFilter

Limits the number of tokens while indexing. This token filter is implemented using Apache Lucene.

LuceneStandardAnalyzer

Standard Apache Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter.

LuceneStandardTokenizer

Breaks text following the Unicode Text Segmentation rules. This tokenizer is implemented using Apache Lucene.

MagnitudeScoringFunction

Defines a function that boosts scores based on the magnitude of a numeric field.

MagnitudeScoringParameters

Provides parameter values to a magnitude scoring function.

MappingCharFilter

A character filter that applies mappings defined with the mappings option. Matching is greedy (longest pattern matching at a given point wins). Replacement is allowed to be the empty string. This character filter is implemented using Apache Lucene.

MergeSkill

A skill for merging two or more strings into a single unified string, with an optional user-defined delimiter separating each component part.

MicrosoftLanguageStemmingTokenizer

Divides text using language-specific rules and reduces words to their base forms.

MicrosoftLanguageTokenizer

Divides text using language-specific rules.

NativeBlobSoftDeleteDeletionDetectionPolicy

Defines a data deletion detection policy utilizing Azure Blob Storage's native soft delete feature for deletion detection.

NGramTokenFilter

Generates n-grams of the given size(s). This token filter is implemented using Apache Lucene.

NGramTokenizer

Tokenizes the input into n-grams of the given size(s). This tokenizer is implemented using Apache Lucene.

OcrSkill

A skill that extracts text from image files.

OutputFieldMappingEntry

Output field mapping for a skill.

PathHierarchyTokenizer

Tokenizer for path-like hierarchies. This tokenizer is implemented using Apache Lucene.

PatternAnalyzer

Flexibly separates text into terms via a regular expression pattern. This analyzer is implemented using Apache Lucene.

PatternCaptureTokenFilter

Uses Java regexes to emit multiple tokens - one for each capture group in one or more patterns. This token filter is implemented using Apache Lucene.

PatternReplaceCharFilter

A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text "aa bb aa bb", pattern "(aa)\s+(bb)", and replacement "$1#$2", the result would be "aa#bb aa#bb". This character filter is implemented using Apache Lucene.

PatternReplaceTokenFilter

A character filter that replaces characters in the input string. It uses a regular expression to identify character sequences to preserve and a replacement pattern to identify characters to replace. For example, given the input text "aa bb aa bb", pattern "(aa)\s+(bb)", and replacement "$1#$2", the result would be "aa#bb aa#bb". This token filter is implemented using Apache Lucene.

PatternTokenizer

Tokenizer that uses regex pattern matching to construct distinct tokens. This tokenizer is implemented using Apache Lucene.

PhoneticTokenFilter

Create tokens for phonetic matches. This token filter is implemented using Apache Lucene.

PiiDetectionSkill

Using the Text Analytics API, extracts personal information from an input text and gives you the option of masking it.

ScalarQuantizationCompression

Contains configuration options specific to the scalar quantization compression method used during indexing and querying.

ScalarQuantizationParameters

Contains the parameters specific to Scalar Quantization.

ScoringFunction

Base type for functions that can modify document scores during ranking. Please note ScoringFunction is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include DistanceScoringFunction, FreshnessScoringFunction, MagnitudeScoringFunction and TagScoringFunction.

ScoringProfile

Defines parameters for a search index that influence scoring in search queries.

SearchableField

A String or "Collection(String)" field that can be searched.

SearchAlias

Represents an index alias, which describes a mapping from the alias name to an index. The alias name can be used in place of the index name for supported operations.

SearchField

Represents a field in an index definition, which describes the name, data type, and search behavior of a field.

SearchFieldTemplate

Base field type for helper classes to more easily create a SearchIndex.

SearchIndex

Represents a search index definition, which describes the fields and search behavior of an index.

SearchIndexer

Represents an indexer.

SearchIndexerCache

The SearchIndexerCache.

SearchIndexerDataContainer

Represents information about the entity (such as Azure SQL table or CosmosDB collection) that will be indexed.

SearchIndexerDataIdentity

Abstract base type for data identities. Please note SearchIndexerDataIdentity is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include SearchIndexerDataNoneIdentity and SearchIndexerDataUserAssignedIdentity.

SearchIndexerDataNoneIdentity

Clears the identity property of a datasource.

SearchIndexerDataSourceConnection

Represents a datasource definition, which can be used to configure an indexer.

SearchIndexerDataUserAssignedIdentity

Specifies the identity for a datasource to use.

SearchIndexerError

Represents an item- or document-level indexing error.

SearchIndexerIndexProjection

Definition of additional projections to secondary search indexes.

SearchIndexerIndexProjectionSelector

Description for what data to store in the designated search index.

SearchIndexerIndexProjectionsParameters

A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.

SearchIndexerKnowledgeStoreParameters

A dictionary of knowledge store-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type.

SearchIndexerLimits

The SearchIndexerLimits.

SearchIndexerSkill

Base type for skills. Please note SearchIndexerSkill is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureMachineLearningSkill, WebApiSkill, AzureOpenAIEmbeddingSkill, CustomEntityLookupSkill, EntityRecognitionSkill, KeyPhraseExtractionSkill, LanguageDetectionSkill, MergeSkill, PiiDetectionSkill, SentimentSkill, SplitSkill, TextTranslationSkill, EntityLinkingSkill, ConditionalSkill, DocumentExtractionSkill, ShaperSkill, ImageAnalysisSkill, OcrSkill and VisionVectorizeSkill.

SearchIndexerSkillset

A list of skills.

SearchIndexerStatus

Represents the current status and execution history of an indexer.

SearchIndexerWarning

Represents an item-level warning.

SearchIndexStatistics

Statistics for a given index. Statistics are collected periodically and are not guaranteed to always be up-to-date.

SearchResourceCounter

Represents a resource's usage and quota.

SearchResourceEncryptionKey

A customer-managed encryption key in Azure Key Vault. Keys that you create and manage can be used to encrypt or decrypt data-at-rest, such as indexes and synonym maps.

SearchServiceCounters

Represents service-level resource counters and quotas.

SearchServiceLimits

Represents various service level limits.

SearchServiceStatistics

Response from a get service statistics request. If successful, it includes service level counters and limits.

SearchSuggester

Defines how the Suggest API should apply to a group of fields in the index.

SemanticConfiguration

Defines a specific configuration to be used in the context of semantic capabilities.

SemanticField

A field that is used as part of the semantic configuration.

SemanticPrioritizedFields

Describes the title, content, and keywords fields to be used for semantic ranking, captions, highlights, and answers.

SemanticSearch

Defines parameters for a search index that influence semantic capabilities.

SentimentSkill

This skill is deprecated. Use the V3.SentimentSkill instead.

ShaperSkill

A skill for reshaping the outputs. It creates a complex type to support composite fields (also known as multipart fields).

ShingleTokenFilter

Creates combinations of tokens as a single token. This token filter is implemented using Apache Lucene.

SimilarityAlgorithm

Base type for similarity algorithms. Similarity algorithms are used to calculate scores that tie queries to documents. The higher the score, the more relevant the document is to that specific query. Those scores are used to rank the search results. Please note SimilarityAlgorithm is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BM25Similarity and ClassicSimilarity.

SimpleField

A simple field using a primitive type or a collection of a primitive type.

SnowballTokenFilter

A filter that stems words using a Snowball-generated stemmer. This token filter is implemented using Apache Lucene.

SoftDeleteColumnDeletionDetectionPolicy

Defines a data deletion detection policy that implements a soft-deletion strategy. It determines whether an item should be deleted based on the value of a designated 'soft delete' column.

SplitSkill

A skill to split a string into chunks of text.

SqlIntegratedChangeTrackingPolicy

Defines a data change detection policy that captures changes using the Integrated Change Tracking feature of Azure SQL Database.

StemmerOverrideTokenFilter

Provides the ability to override other stemming filters with custom dictionary-based stemming. Any dictionary-stemmed terms will be marked as keywords so that they will not be stemmed with stemmers down the chain. Must be placed before any stemming filters. This token filter is implemented using Apache Lucene.

StemmerTokenFilter

Language specific stemming filter. This token filter is implemented using Apache Lucene.

StopAnalyzer

Divides text at non-letters; Applies the lowercase and stopword token filters. This analyzer is implemented using Apache Lucene.

StopwordsTokenFilter

Removes stop words from a token stream. This token filter is implemented using Apache Lucene.

SynonymMap

Represents a synonym map definition.

SynonymTokenFilter

Matches single or multi-word synonyms in a token stream. This token filter is implemented using Apache Lucene.

TagScoringFunction

Defines a function that boosts scores of documents with string values matching a given list of tags.

TagScoringParameters

Provides parameter values to a tag scoring function.

TextTranslationSkill

A skill to translate text from one language to another.

TextWeights

Defines weights on index fields for which matches should boost scoring in search queries.

TokenFilter

Base type for token filters. Please note TokenFilter is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AsciiFoldingTokenFilter, CjkBigramTokenFilter, CommonGramTokenFilter, DictionaryDecompounderTokenFilter, EdgeNGramTokenFilter, EdgeNGramTokenFilter, ElisionTokenFilter, KeepTokenFilter, KeywordMarkerTokenFilter, LengthTokenFilter, LimitTokenFilter, NGramTokenFilter, NGramTokenFilter, PatternCaptureTokenFilter, PatternReplaceTokenFilter, PhoneticTokenFilter, ShingleTokenFilter, SnowballTokenFilter, StemmerOverrideTokenFilter, StemmerTokenFilter, StopwordsTokenFilter, SynonymTokenFilter, TruncateTokenFilter, UniqueTokenFilter and WordDelimiterTokenFilter.

TruncateTokenFilter

Truncates the terms to a specific length. This token filter is implemented using Apache Lucene.

UaxUrlEmailTokenizer

Tokenizes urls and emails as one token. This tokenizer is implemented using Apache Lucene.

UniqueTokenFilter

Filters out tokens with same text as the previous token. This token filter is implemented using Apache Lucene.

VectorEncodingFormat.Values

The values of all declared VectorEncodingFormat properties as string constants. These can be used in VectorSearchFieldAttribute and anywhere else constants are required.

VectorSearch

Contains configuration options related to vector search.

VectorSearchAlgorithmConfiguration

Contains configuration options specific to the algorithm used during indexing or querying. Please note VectorSearchAlgorithmConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ExhaustiveKnnAlgorithmConfiguration and HnswAlgorithmConfiguration.

VectorSearchCompression

Contains configuration options specific to the compression method used during indexing or querying. Please note VectorSearchCompression is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BinaryQuantizationCompression and ScalarQuantizationCompression.

VectorSearchField

A searchable vector field of type "Collection(Single)".

VectorSearchProfile

Defines a combination of configurations to use with vector search.

VectorSearchVectorizer

Specifies the vectorization method to be used during query time. Please note VectorSearchVectorizer is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AIServicesVisionVectorizer, AzureMachineLearningVectorizer, AzureOpenAIVectorizer and WebApiVectorizer.

VisionVectorizeSkill

Allows you to generate a vector embedding for a given image or text input using the Azure AI Services Vision Vectorize API.

WebApiSkill

A skill that can call a Web API endpoint, allowing you to extend a skillset by having it call your custom code.

WebApiVectorizer

Specifies a user-defined vectorizer for generating the vector embedding of a query string. Integration of an external vectorizer is achieved using the custom Web API interface of a skillset.

WebApiVectorizerParameters

Specifies the properties for connecting to a user-defined vectorizer.

WordDelimiterTokenFilter

Splits words into subwords and performs optional transformations on subword groups. This token filter is implemented using Apache Lucene.

Structs

AIStudioModelCatalogName

The name of the embedding model from the Azure AI Studio Catalog that will be called.

AzureOpenAIModelName

The Azure Open AI model name that will be called.

BlobIndexerDataToExtract

Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs.

BlobIndexerImageAction

Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer.

BlobIndexerParsingMode

Represents the parsing mode for indexing from an Azure blob data source.

BlobIndexerPdfTextRotationAlgorithm

Determines algorithm for text extraction from PDF files in Azure blob storage.

CharFilterName

Defines the names of all character filters supported by the search engine.

CustomEntityLookupSkillLanguage

The language codes supported for input text by CustomEntityLookupSkill.

EntityCategory

A string indicating what entity categories to return.

EntityRecognitionSkill.SkillVersion

Represents service version information of an EntityRecognitionSkill.

EntityRecognitionSkillLanguage

Deprecated. The language codes supported for input text by EntityRecognitionSkill.

ImageAnalysisSkillLanguage

The language codes supported for input by ImageAnalysisSkill.

ImageDetail

A string indicating which domain-specific details to return.

IndexerExecutionEnvironment

Specifies the environment in which the indexer should execute.

IndexerExecutionStatusDetail

Details the status of an individual indexer execution.

IndexingMode

Represents the mode the indexer is executing in.

IndexProjectionMode

Defines behavior of the index projections in relation to the rest of the indexer.

KeyPhraseExtractionSkillLanguage

The language codes supported for input text by KeyPhraseExtractionSkill.

LexicalAnalyzerName

Defines the names of all text analyzers supported by the search engine.

LexicalNormalizerName

Defines the names of all text normalizers supported by the search engine.

LexicalTokenizerName

Defines the names of all tokenizers supported by the search engine.

OcrLineEnding

Defines the sequence of characters to use between the lines of text recognized by the OCR skill. The default value is "space".

OcrSkillLanguage

The language codes supported for input by OcrSkill.

PiiDetectionSkillMaskingMode

A string indicating what maskingMode to use to mask the personal information detected in the input text.

RegexFlag

Defines flags that can be combined to control how regular expressions are used in the pattern analyzer and pattern tokenizer.

SearchFieldDataType

Defines the data type of a field in a search index.

SearchIndexerDataSourceType

Defines the type of a datasource.

SentimentSkill.SkillVersion

Represents service version information of an SentimentSkill.

SentimentSkillLanguage

Deprecated. The language codes supported for input text by SentimentSkill.

SplitSkillEncoderModelName

A value indicating which tokenizer to use.

SplitSkillLanguage

The language codes supported for input text by SplitSkill.

SplitSkillUnit

A value indicating which unit to use.

TextSplitMode

A value indicating which split mode to perform.

TextTranslationSkillLanguage

The language codes supported for input text by TextTranslationSkill.

TokenFilterName

Defines the names of all token filters supported by the search engine.

VectorEncodingFormat

The encoding format for interpreting vector field contents.

VectorSearchAlgorithmMetric

The similarity metric to use for vector comparisons. It is recommended to choose the same similarity metric as the embedding model was trained on.

VectorSearchCompressionTarget

The quantized data type of compressed vector values.

VisualFeature

The strings indicating what visual feature types to return.

Enums

CjkBigramTokenFilterScripts

Scripts that can be ignored by CjkBigramTokenFilter.

EdgeNGramTokenFilterSide

Specifies which side of the input an n-gram should be generated from.

IndexerExecutionStatus

Represents the status of an individual indexer execution.

IndexerStatus

Represents the overall indexer status.

MicrosoftStemmingTokenizerLanguage

Lists the languages supported by the Microsoft language stemming tokenizer.

MicrosoftTokenizerLanguage

Lists the languages supported by the Microsoft language tokenizer.

PhoneticEncoder

Identifies the type of phonetic encoder to use with a PhoneticTokenFilter.

ScoringFunctionAggregation

Defines the aggregation function used to combine the results of all the scoring functions in a scoring profile.

ScoringFunctionInterpolation

Defines the function used to interpolate score boosting across a range of documents.

SnowballTokenFilterLanguage

The language to use for a Snowball token filter.

StemmerTokenFilterLanguage

The language to use for a stemmer token filter.

StopwordsList

Identifies a predefined list of language-specific stopwords.

TokenCharacterKind

Represents classes of characters on which a token filter can operate.