FAISS

FAISS (Facebook AI Similarity Search): The open-source Meta AI library for high-performance, billion-scale similarity search and clustering of dense vectors.

FAISS (Facebook AI Similarity Search) is the core open-source library from Meta AI for efficient similarity search and clustering of dense vectors. It is engineered for billion-scale datasets, delivering state-of-the-art performance by optimizing the memory-speed-accuracy tradeoff. The library leverages advanced indexing structures (e.g., IVF, HNSW, Product Quantization) to manage and query high-dimensional data. Crucially, it provides complete C++ and Python wrappers, with CUDA-enabled GPU implementations that deliver a significant speedup (often 5x to 10x) over CPU-only operations. This makes it the go-to tool for large-scale applications: recommendation systems, image retrieval, and anomaly detection.

https://faiss.ai