facebookresearch/faiss
- Total stars
- 40,995
- Today
- +0
More actions
A library for efficient similarity search and clustering of dense vectors.
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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. Read the original README →
Star growth looks organic. Data as of September 29, 2026, 10:48 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 0 stars so far today, about 1 expected by the end of the day.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: September 29, 2026, 10:48 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 40,995
- Today
- +0 stars on 2026-09-29 (UTC), ≈ 1 by evening
- Forks
- 4,533
- Issues and pull requests
- 5,360
- Watchers
- 499
- Language
- C++
- License
- MIT
- Latest release
- v1.15.1 · September 16, 2026
- Created
- February 7, 2017
- Last push
- September 29, 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 19, 2026GitHub Trending C++ today: #20, +4 stars
- September 18, 2026GitHub Trending C++ today: #20, +8 stars
README badge
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