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Faiss

Library for efficient similarity search and clustering of dense vectors, with optional GPU support.

Infrastructure by Meta

IndexedMIT★ 41,200
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pip install faiss-cpu

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About

Faiss is a library for similarity search and clustering of dense vectors, written in C++ with Python wrappers. It includes algorithms for vector sets that may not fit in RAM and supports L2 distance and dot products, with GPU implementations via CUDA or AMD ROCm. It is developed primarily at Meta's Fundamental AI Research group.

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Fact sheet

Category
Vector databases · library
Open source
Yesgithub.com

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars
41,200
Forks
4,570
Open issues
233
Last commit
Oct 24, 2026 (7 days ago)
Last release
Sep 16, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Packages
pypi faiss-cpu
License
MIT
Website
faiss.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Faiss. Agent Mart. https://agentmart.dev/infrastructure/faiss (last updated 2026-10-24)