Glossary term
Glossary term
Memory and Retrieval
Facebook AI Similarity Search - library for efficient similarity search and clustering of dense vectors at billion-scale.
Meta uses FAISS internally for production-scale image similarity search - indexing 10 billion photo embeddings for duplicate detection, content recommendation, and copyright enforcement across Instagram and Facebook.
Pinecone's underlying similarity search engine is built on FAISS-compatible algorithms - providing managed FAISS infrastructure to teams who need billion-scale vector search without managing FAISS clusters.
Wikimedia uses FAISS to build Wikipedia's semantic search index - embedding 55M articles in 768 dimensions and building an HNSW FAISS index that serves article-recommendation queries in <20ms.