Retrieval-Augmented Generation (RAG) is a method in AI that combines two steps: first, it finds (retrieves) useful information from sources like databases or documents; then, it uses an AI model to create a response based on that information. This makes the AI’s answers more accurate and helpful, especially for tasks like answering questions or summarizing information.