FAISS

An open-source library developed by Meta AI Research for efficient similarity search and clustering of dense vectors at scale. FAISS, which stands for Facebook AI Similarity Search, is one of the most widely used tools for building vector search infrastructure, offering highly optimized algorithms for finding nearest neighbors in large embedding collections, and is used internally at Meta to index over a trillion vectors.
See also: vector database, embedding, dense retrieval.