{"library":"faiss-cpu","type":"library","category":null,"description":"Facebook AI Research Similarity Search. C++ library with Python bindings for efficient similarity search and clustering of dense vectors. Supports flat (exact), IVF (approximate), HNSW, PQ, and many other index types. CPU-only via PyPI (faiss-cpu); GPU support requires conda or building from source. Officially maintained by Meta/Facebook AI Research; PyPI wheel builds maintained by the community (faiss-wheels project). Import is always 'import faiss' regardless of which package is installed.","language":"python","status":"active","version":"1.13.2","tags":["faiss","vector-search","similarity-search","embeddings","ann","hnsw","ivf","offline","library"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install faiss-cpu","imports":["import faiss","conda install -c pytorch -c nvidia faiss-gpu"]},{"cmd":"conda install -c pytorch -c conda-forge faiss-cpu=1.13.2","imports":[]},{"cmd":"conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.13.2","imports":[]}],"homepage":null,"github":"https://github.com/kyamagu/faiss-wheels","docs":null,"changelog":null,"pypi":"https://pypi.org/project/faiss-cpu/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":4.5,"avg_import_s":0.79,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/faiss-cpu/compatibility"}}