RAG architecture

Retrieval-Augmented Generation (RAG) is an AI architecture that enhances Large Language Models (LLMs) by grounding them in external data. Instead of relying solely on pre-trained knowledge, the system retrieves relevant facts from a proprietary knowledge base and injects them into the model's prompt, preventing hallucinations and ensuring up-to-date responses.