Retrieval-Augmented Generation 1 story

Retrieval-Augmented Generation is where AI Models & Concepts coverage narrows to configuration, interoperability, and expected behavior of this specific layer. Coverage uses RAG systems, document retrieval for LLMs, vector database retrieval, and embedding search to explain function, setup, support boundaries, and interactions with the rest of the platform. This keeps Retrieval-Augmented Generation narrower than AI Models & Concepts as a whole while giving readers enough context to make configuration or compatibility decisions and recognize when a problem-specific tag is more appropriate.