What is Retrieval-Augmented Generation (RAG)

Large language models are impressive, but they’re limited by what they were trained on. They can’t access your internal documentation, stay current with new data, or reliably distinguish fact from fiction. Retrieval-Augmented Generation (RAG) addresses this gap. It augments a language model by giving it access to external data at runtime. When a question is asked, the system first retrieves…