Faiss

Faiss is an open-source library developed by Facebook AI Research (FAIR) that enables efficient similarity search and clustering of dense vectors, making it a crucial tool for applications such as image and video retrieval, natural language processing, and recommendation systems. By providing optimized algorithms and data structures for indexing and searching large datasets, Faiss has become a go-to solution for tech companies and researchers seeking to improve the performance and scalability of their AI and machine learning workloads.