Retrieval Augmented Generation

Retrieval augmented generation (RAG) is a method that lets an artificial intelligence (AI) tool look up relevant information from your own trusted documents before it answers, instead of relying only on what it learned in training. The tool fetches the right passages, then writes its reply based on them.

It is like an assistant who checks your actual files before responding, rather than answering from memory alone. Retrieval augmented generation matters because it grounds answers in your real, current information, which makes them more accurate and lets a business point the tool at its own knowledge.