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    VectorChord

    VectorChord

    Scalable, fast, and disk-friendly vector search in Postgres

    VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search.
    Downloads: 31 This Week
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    LEANN

    LEANN

    Local RAG engine for private multimodal knowledge search on devices

    ...LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing large embedding vectors. By recomputing embeddings during queries and using compact graph-based indexing structures, LEANN can maintain high search accuracy while minimizing disk usage. It aims to act as a unified personal knowledge layer that connects different types of data such as documents, code, images, and other local files into a searchable context for language models.
    Downloads: 0 This Week
    Last Update:
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