Retrieval-augmented generation is used in applications where generated responses need to be grounded in external or frequently updated information.citation needed For example, this enables LLM-based chatbots to access internal company data or generate responses based on authoritative sources. The RAG pipeline looks at the database for concepts and data that seem similar to the question…