RAG chatbots use document retrieval, embeddings, vector search, prompts, and a language model to assemble answers from selected passages; one workflow appends retrieved passages to GPT-4’s input. RAG…
Tag: Retrieval-Augmented Generation
What Is RAG And Why It Makes AI Bots More Accurate
RAG (Retrieval-Augmented Generation) combines an external retriever and a generative model to ground LLM outputs by marginalizing over retrieved documents, P(y|x)=∑_{i=1}^{K} P_ret(z_i|x) P_gen(y|x,z_…