Retrieval augmented generation. > Retrieval Augmented Generation (RAG) is a technique where the capabilities of a large language model (LLM) are augmented by r

Retrieval augmented generation. > Retrieval Augmented Generation (RAG) is a technique where the capabilities of a large language model (LLM) are augmented by retrieving information from other systems and inserting them into the LLM’s context window via a prompt. (stolen from: https://github.com/psychic-api/rag-stack https://github.com/psychic-api/rag-stack)