{"library":"autofaiss","type":"library","category":null,"description":"AutoFaiss is a Python library that automatically selects and tunes the best Faiss index for a given dataset, optimizing for search quality and inference speed. It simplifies the process of building and evaluating vector search indexes, abstracting away much of the complexity of Faiss. The current version is 2.18.0, and it generally follows a minor release cadence driven by dependency updates and small feature enhancements.","language":"python","status":"active","version":"2.18.0","tags":["machine-learning","vector-search","faiss","similarity-search","ann","approximate-nearest-neighbor"],"last_verified":"Tue May 26","install":[{"cmd":"pip install autofaiss","imports":["from autofaiss import build_index"]},{"cmd":"pip install autofaiss[gpu]","imports":[]}],"homepage":null,"github":"https://github.com/criteo/autofaiss","docs":null,"changelog":null,"pypi":"https://pypi.org/project/autofaiss/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":70,"avg_install_s":11.9,"avg_import_s":1.77,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/autofaiss/compatibility"}}