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ejaasaari (Elias Jääsaari) · GitHub

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  1. lorann lorann Public

    [NeurIPS'24] Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

    C++ 52 3

  2. lemur lemur Public

    [ICML'26] LEMUR reduces multi-vector retrieval for late interaction models such as ColBERT into regular single-vector retrieval.

    C++ 33 3

  3. mlann mlann Public

    [NeurIPS'22] A Multilabel Classification Framework for Approximate Nearest Neighbor Search

    C++ 2

  4. vector-index-bench/vibe vector-index-bench/vibe Public

    Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

    Python 57 13

  5. vioshyvo/mrpt vioshyvo/mrpt Public

    Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

    C++ 270 47

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