Retrieval-Augmented Generation is an AI technique that combines information retrieval with text generation. First, relevant documents are fetched from a knowledge base; then, a language model uses this context to produce a grounded, accurate output. In the enterprise, RAG ensures that AI responses are based on trusted internal data, reducing the risk of misinformation. It’s especially valuable for customer support, knowledge management, and decision assistance.