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@pinecone-io

Pinecone

The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.

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  1. pinecone-python-client pinecone-python-client Public

    The Pinecone Python client

    Python 373 94

  2. examples examples Public

    Jupyter Notebooks to help you get hands-on with Pinecone vector databases

    Jupyter Notebook 2.9k 1.1k

  3. pinecone-ts-client pinecone-ts-client Public

    The official TypeScript/Node client for the Pinecone vector database

    TypeScript 235 41

  4. pinecone-vercel-starter pinecone-vercel-starter Public template

    Pinecone + Vercel AI SDK Starter

    TypeScript 469 157

Repositories

Showing 10 of 85 repositories
  • nvidia-pinecone-rag Public

    A blueprint for a RAG service running via NVIDIA NIMs and Pinecone.

    pinecone-io/nvidia-pinecone-rag’s past year of commit activity
    Jupyter Notebook 2 Apache-2.0 0 0 4 Updated Jun 27, 2025
  • cli Public

    Work seamlessly with Pinecone from the command line

    pinecone-io/cli’s past year of commit activity
    Go 6 Apache-2.0 0 0 3 Updated Jun 27, 2025
  • pinecone-python-client Public

    The Pinecone Python client

    pinecone-io/pinecone-python-client’s past year of commit activity
    Python 373 Apache-2.0 94 24 3 Updated Jun 27, 2025
  • sample-apps Public

    Official Pinecone sample apps

    pinecone-io/sample-apps’s past year of commit activity
    TypeScript 42 MIT 25 2 10 Updated Jun 27, 2025
  • examples Public

    Jupyter Notebooks to help you get hands-on with Pinecone vector databases

    pinecone-io/examples’s past year of commit activity
    Jupyter Notebook 2,907 MIT 1,059 29 19 Updated Jun 26, 2025
  • homebrew-tap Public

    Homebrew tap for Pinecone

    pinecone-io/homebrew-tap’s past year of commit activity
    Ruby 1 0 0 0 Updated Jun 25, 2025
  • nv-ingest Public Forked from NVIDIA/nv-ingest

    NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retrieval systems.

    pinecone-io/nv-ingest’s past year of commit activity
    Python 0 Apache-2.0 248 0 0 Updated Jun 25, 2025
  • pinecone-io/image-search-example’s past year of commit activity
    TypeScript 64 MIT 31 3 2 Updated Jun 25, 2025
  • pinecone-io/langchain-retrieval-agent-example’s past year of commit activity
    TypeScript 67 MIT 32 2 9 Updated Jun 25, 2025
  • pinecone-io/recommender-example-typescript’s past year of commit activity
    TypeScript 54 MIT 10 1 3 Updated Jun 25, 2025