NOTICE

quantvec
Copyright 2026 Ahmed Tokyo

Licensed under the Apache License, Version 2.0 (the "License").
You may obtain a copy of the License in the LICENSE file in this repository
or at http://www.apache.org/licenses/LICENSE-2.0.

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This product is a clean-room implementation, written solely from the following
published research papers and its authors' own design:

  - "TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate"
    Amir Zandieh, Majid Daliri, Majid Hadian, Vahab Mirrokni (Google Research)
    arXiv:2504.19874 — https://arxiv.org/abs/2504.19874

  - "RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound
    for Approximate Nearest Neighbor Search"
    arXiv:2405.12497 — https://arxiv.org/abs/2405.12497 (SIGMOD 2024)

quantvec is not affiliated with, sponsored by, or endorsed by Google or the
authors of the above works. "TurboQuant" and "RaBitQ" are used only to credit
the algorithms whose published descriptions this software implements.