Data Science & Analytics

Faiss

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

Publisher / source

Orchestra-Research/AI-Research-SKILLs (found on skills.sh, an awesome list)

Upstream record

Orchestra-Research/AI-Research-SKILLs

Version

Version 3

Published

2026-11-02

Publication review

Approved for publication

Content fingerprint

79a494b9212c73810d53527800c69f80acd6aa1907fca8c614c69583cac76e89