X @Avi Chawla

RT Avi Chawla (@_avichawla)Researchers from Meta built a new RAG approach that:- outperforms LLaMA on 16 RAG benchmarks.- has 30.85x faster time-to-first-token.- handles 16x larger context windows.- and it utilizes 2-4x fewer tokens.Here's the core problem with a typical RAG setup that Meta solves:Most of what we retrieve in RAG setups never actually helps the LLM.In classic RAG, when a query arrives:- You encode it into a vector.- Fetch similar chunks from vector DB.- Dump the retrieved context into the LL ...