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Faiss is a library for efficient similarity search and clustering of dense vectors. Faiss 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/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.

Registry - Source - JSON
purl: pkg:spack/faiss
License: Other
Latest release: about 1 year ago
First release: about 2 years ago
Stars: 19,756 on GitHub
Forks: 2,835 on GitHub
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Last synced: 11 days ago