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AppsPinecone ToolsPinecone Query Vectors
Pinecone Tools

Pinecone Query Vectors

Tool to perform semantic search within a Pinecone index using a query vector. Retrieves IDs and similarity scores of the most similar items, ordered from most to least similar. Either vector or id parameter must be provided.

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Use Pinecone Query Vectors

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Inputs

  • idstring
    Vector ID to use as query. Maximum length is 512 characters. Required if vector is not provided.
  • topKinteger
    Required
    Number of results to return per query. Must be between 1 and 10,000.
  • filterobject
    Metadata filtering criteria to constrain results. Example: {"genre": {"$in": ["comedy", "documentary"]}, "year": {"$eq": 2019}}
  • vectorarray
    Query vector values matching index dimensionality. Length must be between 1 and 20,000. Required if id is not provided.
  • indexHoststring
    Required
    The host URL of the Pinecone index to query. Get this from the list indexes operation.
  • namespacestring
    The namespace to search. If omitted, searches the default namespace.
  • sparseVectorobject
    Sparse vector representation.
  • includeValuesboolean
    Whether to include vector data in the response. Default is false.
  • includeMetadataboolean
    Whether to include metadata in the response. Default is false.

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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