[SSL: CERTIFICATE_VERIFY_FAILED] in Azure AI services | Cognitive search

Question

I tried to replicate this demonstration, but encountered an issue.

issue

• [undefined]azure.core.exceptions.ServiceRequestError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1129)

demonstration

• https://github.com/Azure/cognitive-search-vector-pr/blob/main/demo-python/code/azure-search-vector-python-sample.ipynb

code

• error occor in

result = index_client.create_or_update_index(index)

# Create a search index
index_client = SearchIndexClient(
    endpoint=service_endpoint, credential=credential)
fields = [
    SimpleField(name="id", type=SearchFieldDataType.String, key=True, sortable=True, filterable=True, facetable=True),
    SearchableField(name="title", type=SearchFieldDataType.String),
    SearchableField(name="content", type=SearchFieldDataType.String),
    SearchableField(name="category", type=SearchFieldDataType.String,
                    filterable=True),
    SearchField(name="titleVector", type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
                searchable=True, vector_search_dimensions=1536, vector_search_configuration="my-vector-config"),
    SearchField(name="contentVector", type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
                searchable=True, vector_search_dimensions=1536, vector_search_configuration="my-vector-config"),
]

vector_search = VectorSearch(
    algorithm_configurations=[
        HnswVectorSearchAlgorithmConfiguration(
            name="my-vector-config",
            kind="hnsw",
            parameters={
                "m": 4,
                "efConstruction": 400,
                "efSearch": 500,
                "metric": "cosine"
            }
        )
    ]
)

semantic_config = SemanticConfiguration(
    name="my-semantic-config",
    prioritized_fields=PrioritizedFields(
        title_field=SemanticField(field_name="title"),
        prioritized_keywords_fields=[SemanticField(field_name="category")],
        prioritized_content_fields=[SemanticField(field_name="content")]
    )
)

# Create the semantic settings with the configuration
semantic_settings = SemanticSettings(configurations=[semantic_config])

# Create the search index with the semantic settings
index = SearchIndex(name=index_name, fields=fields,
                    vector_search=vector_search, semantic_settings=semantic_settings)
result = index_client.create_or_update_index(index)
print(f' {result.name} created')

Answer 1

@liu_lin It sounds like you were able to resolve this by switching to a different network. There's a chance that something on your enterprise network was causing issues such as a firewall.

If you need further assistance on this or we misunderstood your latest update, please let us know by replying here so we can assist you further. Have a great weekend!