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Databricks Vectorsearch Vector Search Indexes Query Index

Tool to query vector search index to find similar vectors and return associated documents. Use when performing similarity search, hybrid keyword-similarity search, or full-text search on Databricks Vector Search indexes. Supports filtering, reranking, and returns configurable co…

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Use Databricks Vectorsearch Vector Search Indexes Query Index

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Inputs

  • columnsarray
    Required
    List of column names to include in the response. These columns will be returned along with the similarity scores for matched documents
  • filters
    Filter conditions to apply to results. Use dictionary format for standard endpoints (e.g., {'field': value}), or SQL string format for storage-optimized endpoints (e.g., "field = 'value'")
  • rerankerobject
    Reranking configuration object.
  • index_namestring
    Required
    Name of the vector index to query. Use the full three-level name format (catalog.schema.index_name)
  • page_tokenstring
    Token for pagination. Pass the next_page_token from a previous response to retrieve the next page of results. Maximum total retrievable results is 10,000 across all pages
  • query_textstring
    Text query to search with. Required for Delta Sync Index using model endpoint. Automatically converted to embeddings. Must provide either query_vector or query_text
  • query_typestring
    Type of search to perform. ANN (default): Approximate nearest neighbor search. HYBRID: Combines keyword and similarity search. FULL_TEXT: Full-text search mode
  • debug_levelinteger
    Set to ≥1 to get latency information in response. Required for reranker timing information
  • num_resultsinteger
    Required
    Maximum number of results to return. Maximum is 200 for hybrid search, 10,000 total retrievable with pagination
  • filters_jsonstring
    JSON string representing query filters (alternative format)
  • query_vectorarray
    Vector embeddings to search with. Required for Direct Vector Access Index and Delta Sync Index using self-managed vectors. Must provide either query_vector or query_text
  • score_thresholdnumber
    Minimum similarity score threshold for results. Defaults to 0.0. Only results with similarity scores above this threshold will be returned

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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