# facebookresearch/faiss

> 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.

- Magnitude: 0.8 out of 10 — Steady
- Stars: 40,995 total · +0 stars on 2026-09-29 (UTC), ≈ 1 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: C++ · License: MIT · Created: 2017-02-07 · Last push: 2026-09-29
- GitHub: https://github.com/facebookresearch/faiss · Homepage: https://faiss.ai · Page: https://gitnova.dev/en/r/facebookresearch/faiss

## 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

## Why it’s here

- 0 stars so far today, about 1 expected by the end of the day.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 4,533
- Issues and pull requests: 5,360
- Watchers: 499
- Average over the last week: 6 per day
- Usual pace: 7 per day
- Latest release: v1.15.1 (2026-09-16)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-05 … 2026-11-03: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 12 days

09-18 1.2, 09-19 1.2, 09-20 1.3, 09-21 1.4, 09-22 1.5, 09-23 1.4, 09-24 1.3, 09-25 1.3, 09-26 1.3, 09-27 1.1, 09-28 1.3, 09-29 0.8

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-29 10:48 UTC, updated every 30 minutes.