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[ascl:2210.024] Faiss: Similarity search and clustering of dense vectors library

The Faiss library performs 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/numpy. Some of the most useful algorithms are implemented on the GPU.

Code site:
https://github.com/facebookresearch/faiss
Used in:
https://ui.adsabs.harvard.edu/abs/2022ApJ...932..107S
Described in:
https://ui.adsabs.harvard.edu/abs/2017arXiv170208734J
Bibcode:
2022ascl.soft10024J

Views: 1434

ascl:2210.024
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