Simple definition of Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is a method where an AI looks up information from a separate source before it writes an answer. RAG stands for Retrieval-Augmented Generation: “retrieval” means fetching relevant info, “augmented” means boosted or helped, and “generation” means writing the response. For everyday users, RAG can make answers more accurate because the AI can use up-to-date or specific documents. A downside is it can still use the wrong source, misunderstand what it retrieved, or cite information that is incomplete.
How to explain Retrieval-Augmented Generation (RAG) to kids
Sometimes the computer does not answer only from memory especially when it needs to know something that happened since it was trained. First it goes and finds the best pages or notes about your question. Then it uses those notes to write its answer.
Here’s how to think about it
Imagine you have a question for a school report and you need up-to-date facts, but your books only go up to last year. Before you write, you look up the this year's information in online newspapers. Then you write your report using those notes. RAG is like the AI doing a quick up-to-date search before it answers.