What is FAISS?
FAISS is a library developed by Meta that enables efficient similarity search and clustering of dense vectors in large-scale machine learning applications. It helps organizations quickly search through massive collections of vector data, making it valuable for tasks like recommendation systems, image search, and natural language processing applications that use vector embeddings.
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