{"library":"faiss-gpu-cu12","type":"library","category":null,"description":"faiss-gpu-cu12 is a Python library for efficient similarity search and clustering of dense vectors, leveraging NVIDIA GPUs with CUDA 12. It provides pre-built wheels that dynamically link to CUDA Runtime and cuBLAS libraries available on PyPI, eliminating the need for a local CUDA installation. This particular package is an unofficial, community-maintained build, offering specialized support for CUDA 12.1 and maintaining minor version compatibility. The current version is 1.14.1.post1, with a release cadence tied to updates in the underlying Faiss library and CUDA versions.","language":"python","status":"active","version":"1.14.1.post1","tags":["vector search","GPU","CUDA","similarity search","AI","machine learning","embeddings"],"last_verified":"Sat May 23","install":[{"cmd":"pip install faiss-gpu-cu12","imports":["import faiss"]},{"cmd":"pip install 'faiss-gpu-cu12[fix-cuda]'","imports":[]}],"homepage":null,"github":"https://github.com/Di-Is/faiss-gpu-wheels","docs":null,"changelog":null,"pypi":"https://pypi.org/project/faiss-gpu-cu12/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":18.8,"avg_import_s":0.6,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/faiss-gpu-cu12/compatibility"}}