Glossary · Retrieval & memory
FAISS
FAISS is an open-source library from Meta for efficient similarity search and clustering of dense vectors, offering exact and approximate nearest neighbor indexes that can run on CPUs or GPUs.
FAISS sits in the Retrieval & memory part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.
Also called Facebook AI Similarity Search.