Faiss (Facebook AI Similarity Search) is a library for efficient similarity search and clustering of dense vectors
Learned this at HackAIThon 2024
https://ai.meta.com/tools/faiss/#:~:text=FAISS%20
With FAISS developers can search multimedia documents in ways that are inefficient or impossible with standard database engines (such as SQL). Faiss is implemented in C++ with an optional Python interface and GPU support via CUDA.
Lang Chain implementation of FAISS
Documentation: https://js.langchain.com/v0.2/docs/integrations/vectorstores/faiss/
Vector Store