Retrieval Augmented Gen

, also often known as RAG, is a strong method to seek out relevant documents in a corpus of knowledge, which you then provide to an LLM to offer answers to user questions. Traditionally, RAG...

the sorts of answers we expect today from Retrieval-Augmented Generation (RAG) systems. Over the past few years, RAG has develop into one in all the central architectural constructing blocks for knowledge-based language models: As...