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Framework

Faiss

Faiss is an open-source AI framework from Meta, launched in 2017, made for developers.

A C++ and Python library for fast similarity search and clustering of dense vectors.

Main jobs: Vector search. It is open source and free to use. You can use it on your own server, offline on your own machine and through an API.

Visit faiss.ai

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At a glance

Made by
Meta
Launched
2017
Open source
Yes · MIT
GitHub stars
40,969
How you run it
Self-host · Runs offline · API
Made for
Developers
Website
faiss.ai

What it can do

  • Vector searchmain jobunconfirmed

    “Faiss is a library for efficient similarity search and clustering of dense vectors.”— faiss.ai, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Questions

What is Faiss?

Faiss is an open-source AI framework from Meta, launched in 2017, made for developers. A C++ and Python library for fast similarity search and clustering of dense vectors.

Is Faiss free?

Yes. Faiss is open source (MIT) and free to use.

Is Faiss open source?

Yes, under the MIT license. The source code is at https://github.com/facebookresearch/faiss.

Can Faiss run locally?

Yes. Faiss can run offline on your own machine. It can also be self-hosted on your own server.

What can Faiss do?

Main jobs: Vector search.

Who makes Faiss?

Faiss is made by Meta.

What are open-source alternatives to Faiss?

Open-source ones: Chroma, LanceDB, Milvus, pgvector, Qdrant, Weaviate, Chroma MCP Server and Qdrant MCP Server.

Sources