faiss

Summary Searching through massive datasets efficiently is a challenge, whether in image retrieval, recommendation systems, or semantic search. Faiss (Facebook AI Similarity Search) is a powerful open-source library developed by Meta to handle high-dimensional similarity search at scale. It’s particularly well-suited for tasks like: Image search: Finding visually similar images in a large database. Recommendation systems: Recommending items (products, movies, etc.) to users based on their preferences. Semantic search: Finding documents or text passages that are semantically similar to a given query.