The Faiss library

Understand

Vector databases typically manage large collections of embedding vectors.

• Currently, AI applications are growing rapidly, and so is the number of embeddings that need to be stored and indexed.
• The Faiss library is dedicated to vector similarity search, a core functionality of vector databases.
• Faiss is a toolkit of indexing methods and related primitives used to search, cluster, compress and transform vectors.