Faiss
Library for efficient similarity search and clustering of dense vectors, with optional GPU support.
Infrastructure by Meta
Install
Pick your client. Read the repository before you give any tool access to your data.
pip install faiss-cpu
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: knowledge-base
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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 (4 days ago)
- Last release
- Sep 16, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Packages
- pypi
faiss-cpu - License
- MIT
- Repository
- github.com/facebookresearch/faiss
- Website
- faiss.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
More from Meta
- 0.756score
Llama Guard
Meta
Meta's open safeguard models that moderate LLM prompts and responses, including Llama Guard 4.
Observability toolAFreshness: A★ 4.4Kguardrails - 0.681score
Llama 3.2 1B Instruct
Meta
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and…
ModelAFreshness: A$0.027 / $0.20160K ctxOpen weights - 0.681score
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation…
ModelAFreshness: A$0.05 / $0.33131K ctxOpen weights - 0.681score
Llama 3.3 70B Instruct
Meta
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
ModelAFreshness: A$0.1 / $0.32131K ctxOpen weights - 0.592score
Muse Spark 1.1
Meta
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.
ModelAFreshness: A$1.25 / $4.251M ctx - 0.592score
Muse Spark 1.2 Contributor
Meta
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost.
ModelAFreshness: A$0.1 / $0.21M ctx
Cite this page
Faiss. Agent Mart. https://agentmart.dev/infrastructure/faiss (last updated 2026-10-24)