ASCL Code Record
[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
Preferred citation method:
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