RAG in Production: The Complete 2027 Guide to Retrieval-Augmented Generation
What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an AI architecture that enhances LLM outputs by retrieving relevant information from external knowledge bases before generating responses. Instead of relying solely on training data, RAG systems query vector databases, document stores, or APIs in real-time to ground responses in authoritative, up-to-date information. By 2027, RAG […]