iohann.s.titov@gmail.com Ivan S. Titov 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 — installed here under USE=python via SWIG-generated bindings. The PyPI distribution is named "faiss-cpu"; the Python import name is plain "faiss". Build the SWIG-generated Python bindings (import faiss) facebookresearch/faiss faiss-cpu