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Overview

The vector database for machine learning applications. Through Langdock’s integration, you can access and manage Pinecone directly from your conversations.
Authentication: API Key Category: Vector Database Availability: All workspace plans

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Available Actions

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Search namespace

pinecone.search_namespace
Searches the database for the most relevant information based on the query provided Requires Confirmation: No Parameters:
  • query (VECTOR, Required):
Output: Returns the operation result

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Upsert record

pinecone.upsert_record
Upserts a new record or update an existing record into a namespace in an index. Requires Confirmation: No Parameters:
  • id (TEXT, Required): Unique identifier for the vector
  • values (VECTOR, Required): Vector embedding values to store
  • metadata (OBJECT, Optional): Optional key-value metadata to store with the vector
Output: Returns the operation result