FAISS - Efficient Similarity Search Facebook AI's library for billion-scale vector similarity search. When to use FAISS Use FAISS when: - Need fast similarity search on large vector datasets (millions/billions) - GPU acceleration required - Pure vector similarity (no metadata filtering needed) - High throughput, low latency critical - Offline/batch processing of embeddings Metrics : - 31,700+ GitHub stars - Meta/Facebook AI Research - Handles billions of vectors - C++ with Python bindings Use alternatives instead : - Chroma/Pinecone : Need metadata filtering - Weaviate : Need full database fe…