def create_search_index()

in demo-python/code/data-chunking/lib/common.py [0:0]

• 77 lines of code
• 2 McCabe index (conditional complexity)

def create_search_index(index_name, azure_openai_endpoint, azure_openai_embedding_deployment_id, azure_openai_key=None):
    return SearchIndex(
        name=index_name,
        fields=[
            SearchField(
                name="chunk_id",
                type=SearchFieldDataType.String,
                key=True,
                hidden=False,
                filterable=True,
                sortable=True,
                facetable=False,
                searchable=True,
                analyzer_name="keyword"
            ),
            SearchField(
                name="parent_id",
                type=SearchFieldDataType.String,
                hidden=False,
                filterable=True,
                sortable=True,
                facetable=False,
                searchable=True
            ),
            SearchField(
                name="chunk",
                type=SearchFieldDataType.String,
                hidden=False,
                filterable=False,
                sortable=False,
                facetable=False,
                searchable=True
            ),
            SearchField(
                name="title",
                type=SearchFieldDataType.String,
                hidden=False,
                filterable=False,
                sortable=False,
                facetable=False,
                searchable=True
            ),
            SearchField(
                name="vector",
                type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
                hidden=False,
                filterable=False,
                sortable=False,
                facetable=False,
                searchable=True,
                vector_search_dimensions=1536,
                vector_search_profile="profile"
            )
        ],
        vector_search=VectorSearch(
            profiles=[
                VectorSearchProfile(
                    name="profile",
                    algorithm="hnsw-algorithm",
                    vectorizer="azure-openai-vectorizer"
                )
            ],
            algorithms=[
                HnswVectorSearchAlgorithmConfiguration(name="hnsw-algorithm")
            ],
            vectorizers=[
                AzureOpenAIVectorizer(
                        name="azure-openai-vectorizer",
                        azure_open_ai_parameters=AzureOpenAIParameters(
                            resource_uri=azure_openai_endpoint,
                            deployment_id=azure_openai_embedding_deployment_id,
                            api_key=azure_openai_key # Optional if using RBAC authentication
                        )
                    )
            ]
        )
    )