facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
About the project
A C++ library with Python wrappers for efficient similarity search and clustering of dense vectors, including indexes scaling to billions of vectors and GPU acceleration. Developed at Meta for vector search tasks.
Useful for
- Build a Faiss index for nearest-neighbor search over document embeddings
- Speed up vector search on GPU by swapping IndexFlatL2 for GpuIndexFlatL2
- Compress vectors with quantization to fit billions of entries in one server's RAM
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 2 stars so far today, about 3 expected by the end of the day.
- GitHub Trending C++ today: #20, +8 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 40,931
- Stars in a day
- 3
- Forks
- 4,526
- Issues and pull requests
- 5,330
- Watchers
- 498
- Language
- C++
- License
- MIT
- Latest release
- v1.15.1 · September 16, 2026
- Created
- February 7, 2017
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026GitHub Trending C++ today: #20, +8 stars
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