Software Engineering Meets Web Development With RAGCache
RAGCache boosts efficiency in retrieval-augmented generation by caching & reusing knowledge, making RAG models faster & more practical without sacrificing quality.
This is a Plain English Papers summary of a research paper called RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper introduces RAGCache, a new method for efficiently caching and retrieving knowledge in retrieval-augmented generation (RAG) models. RAG models combine a language model with a retrieval system to generate text that is grounded in external knowledge. RAGCache aims to improve the efficiency of RAG models by caching ret...