Retrieval-Augmented Generation (RAG) is an AI framework that blends traditional information retrieval systems like databases with powerful generative large language models (LLMs), like ChatGPT. By integrating this additional knowledge with its language skills, the AI can produce text that is more accurate, current, and tailored to specific needs.