高效密集向量相似性搜索工具Faiss-源码站

项目概述

faiss是一个高效的库，专门用于密集向量的相似性搜索和聚类，旨在提升大规模数据处理的效率。

项目地址

https://github.com/facebookresearch/faiss

项目页面预览

facebookresearch/faiss preview

关键指标

Stars：38751
主要语言：C++
License：MIT License
最近更新：2026-01-15T09:37:30Z
默认分支：main

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安装部署要点（README 精选）

Installing

Faiss comes with precompiled libraries for Anaconda in Python, see faiss-cpu, faiss-gpu and faiss-gpu-cuvs. The library is mostly implemented in C++, the only dependency is a BLAS implementation. Optional GPU support is provided via CUDA or AMD ROCm, and the Python interface is also optional. The backend GPU implementations of NVIDIA cuVS can also be enabled optionally. It compiles with cmake. See INSTALL.md for details.

常用命令（从 README 提取）

@article{douze2024faiss,
      title={The Faiss library},
      author={Matthijs Douze and Alexandr Guzhva and Chengqi Deng and Jeff Johnson and Gergely Szilvasy and Pierre-Emmanuel Mazaré and Maria Lomeli and Lucas Hosseini and Hervé Jégou},
      year={2024},
      eprint={2401.08281},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

@article{johnson2019billion,
  title={Billion-scale similarity search with {GPUs}},
  author={Johnson, Jeff and Douze, Matthijs and J{\'e}gou, Herv{\'e}},
  journal={IEEE Transactions on Big Data},
  volume={7},
  number={3},
  pages={535--547},
  year={2019},
  publisher={IEEE}
}