RAG

RAG (Retrieval-Augmented Generation) is a technique that combines a language model with a prior search of information in an external document base, before generating a response. This lets the AI rely on precise, up-to-date data rather than solely on its training memory, reducing the risk of factual errors. It is a widely used approach for building reliable AI assistants on company-specific data.