Faiss

Faiss is an AI tool developed by Facebook AI Research that enables efficient similarity search and clustering of dense vectors. It is designed to handle large datasets and uses algorithms that can search in sets of vectors of any size, even those that may not fit in RAM. Faiss can perform similarity searches using the Euclidean distance metric, and also supports other distances such as L1 and Linf. It can return nearest neighbors, search multiple vectors at once for faster processing, trade precision for speed, and perform range searches to find elements within a given radius of a query point. Faiss is written in C++ but provides complete wrappers for Python. Additionally, it offers GPU implementation for some algorithms. Potential applications of Faiss include image and text search, recommendation systems, and data mining.