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Pinecone Tools

Pinecone Chat Assistant

Tool to chat with a Pinecone assistant and get structured responses with citations. Use when you need to query an assistant that has access to your knowledge base and want to get back answers with document references and citations.

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Use Pinecone Chat Assistant

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Free
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Inputs

  • modelstring
    The large language model to use for answer generation. Default is 'gpt-4o'.
  • filterobject
    Optionally filter which documents can be retrieved using metadata fields. Example: {"genre": {"$ne": "documentary"}}
  • streamboolean
    If false, the assistant returns a single JSON response. If true, the assistant returns a stream of responses. Default is false.
  • messagesarray
    Required
    List of messages in the conversation. Must include at least one message with role 'user'.
  • temperaturenumber
    Controls randomness of model output: lower values make responses more deterministic, higher values increase creativity. Default is 0.0.
  • json_responseboolean
    If true, the assistant will be instructed to return a JSON response. Cannot be used with streaming. Default is false.
  • assistant_hoststring
    Required
    The host URL for the assistant endpoint (e.g., 'prod-1-data.ke.pinecone.io'). This is the data plane host for your assistant.
  • assistant_namestring
    Required
    The name of the assistant to chat with.
  • context_optionsobject
    Controls the context snippets sent to the LLM.
  • include_highlightsboolean
    If true, the assistant will be instructed to return highlights from the referenced documents that support its 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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