Advancements in Retrieval Augmented Generation

This chapter explores an advanced version of retrieval augmented generation (RAG) that incorporates document embedding, ensuring all significant claims by the language model are backed by content from a memory document. It also presents a stringent error-checking process to verify that responses are accurately sourced from the attached documents.