title: "Qu’est-ce que la Retrieval Augmented Generation (RAG) en 2025 ?"

Retrieval-Augmented Generation (RAG) is an AI framework that enhances large language models by connecting them to external, authoritative knowledge sources. The system first retrieves relevant, up-to-date information from a specified dataset before generating a response to a user's query. This retrieved context is then used by the language model to formulate its answer, ensuring the output is grounded in factual, verifiable data. This process significantly reduces the risk of AI "hallucinations" and enables companies to build more accurate and trustworthy AI applications using their own proprietary information.