The longer story
RAG stands for Retrieval-Augmented Generation. It is a technique that improves AI accuracy by connecting a language model to an external knowledge source, such as a company's documents, a database, or the web. Instead of relying solely on what it learned during training, the model first retrieves relevant information, then uses it to generate a more accurate, grounded response. RAG is widely used in enterprise AI to reduce hallucinations and keep outputs current.