RAG is an AI technology that improves responses by retrieving relevant information from external databases before generating an answer. Unlike traditional AI models that rely only on pre-trained data, RAG dynamically pulls real-time, authoritative sources—such as academic papers or library databases—to ensure accurate, citable, and up-to-date responses.