Retrieval-Augmented Generation

What it is

Retrieval-Augmented Generation (RAG) combines AI generation with information retrieval. Instead of relying solely on training knowledge, the system first searches a knowledge base for relevant information, then includes that information in the prompt. This grounds responses in specific, up-to-date content.

Why it matters

RAG enables AI to access your specific documents, stay current, and cite sources. It's the primary technique for building AI that knows about your company's data, technical documentation, or any specialised knowledge base. RAG systems are central to enterprise AI applications.