Audience

Developers interested in a similarity search library

About Faiss

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning.

Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

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Company Information

Meta
Founded: 2004
United States
faiss.ai/

Videos and Screen Captures

Faiss Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation

Faiss Frequently Asked Questions

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Faiss Product Features