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api-vector-db-pinecone

MITUpdated on Oct 27, 202626GitHub stars

A skill from the Agents Inc collection with rules and TypeScript examples for the Pinecone Node.js client, version 7.

InstallRepository Checked on Nov 12, 2026

What the skill teaches

A skill from the Agents Inc collection with rules and TypeScript examples for the Pinecone Node.js client, version 7. It stresses targeting indexes by host, batching upserts within Pinecone's size limits, keeping metadata flat and allowing for eventual consistency after writes. Example files cover client setup and basic operations, namespaces for multi-tenant data, metadata filters, hybrid search with sparse and dense vectors, the inference API for embeddings and reranking, and bulk ingestion, plus a decision guide for index type, metric and namespaces. It has no scripts.

Capabilities

  • Use the Pinecone Node.js client v7 correctly
  • Batch upserts within Pinecone limits
  • Isolate tenants with namespaces
  • Use hybrid search and the inference API

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