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    Welcome to Ever Works

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    HNSWlib
    Featured

    Header-only C++/Python library for fast approximate nearest neighbor search implementing the HNSW algorithm. Used by Spotify and others, offers 10x speed increase over Annoy. This is an OSS library.

    NVIDIA cuVS
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    GPU-accelerated vector search and clustering library from NVIDIA RAPIDS. Provides 8-12x faster index building and queries with multiple language support (C, C++, Python, Rust). This is an OSS library.

    hnswlib-rs

    Pure-Rust implementation of HNSW algorithm for approximate nearest neighbor search. Decouples graph from vector storage for flexible deployment. Supports dense floating point and quantized int8 vectors. This is an OSS library.

    PyNNDescent

    Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and ANN search. Targets 80%-100% accuracy with fast performance and supports wide variety of distance metrics. This is an OSS library.

    VectorDB

    Lightweight Python package for storing and retrieving text using chunking, embeddings, and vector search. Powers AI features in Kagi Search with low latency and small memory footprint. This is an OSS library.

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