Faiss
A library for efficient similarity search and clustering of dense vectors.
What it does
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. Written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU.
- Vector similarity search
- Clustering of dense vectors
- Evaluation and parameter tuning
- Category
- Retrieval, vector search and RAG
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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