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pinecone-quickstart

MITUpdated on Nov 11, 202616GitHub starsIncludes scripts

An interactive first-run skill for Pinecone with two paths.

What the skill teaches

An interactive first-run skill for Pinecone with two paths. On the database path the agent creates a document index whose text field Pinecone embeds itself, upserts sample documents and runs searches by meaning and by exact terms, using the Pinecone MCP server when its newer document tools are present and bundled Python scripts run with uv otherwise; it can then index the user's own files. On the assistant path it creates a Pinecone Assistant, uploads documents and asks it questions with cited answers. It needs a Pinecone API key and checks it before starting.

Capabilities

  • Create a Pinecone document index with integrated embedding
  • Upsert sample documents and search by meaning and exact terms
  • Fall back to bundled Python scripts when the MCP server is missing
  • Set up a Pinecone Assistant and chat with uploaded files