FAISS
Meta's open-source library for efficient similarity search and dense vector clustering
FAISS (Facebook AI Similarity Search) is the most widely-used open-source library for efficient similarity search over dense vectors. It supports billion-scale datasets with GPU acceleration, multiple index types (IVF, HNSW, PQ), and both exact and approximate nearest neighbor search. Used as the core search engine in many vector database and RAG implementations.
Pricing: Free
FAISS Alternatives
Explore 24 products in the Vector databases category. View all FAISS alternatives.
Meilisearch
Open-source search engine in Rust with full-text, semantic, and hybrid search
Typesense
Open-source typo-tolerant search engine with built-in vector and hybrid search
TopK
AI-native search engine combining vector, keyword, and faceted search
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