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About the tool
Meta's library for efficient similarity search and clustering of dense vectors.
Faiss implements exact and approximate nearest-neighbor search algorithms for vector sets of any size, including those that do not fit in RAM, with optimized CPU and GPU paths. It is a foundational building block used inside many vector databases and retrieval pipelines rather than a standalone service.