Techniques · beginner
What is RAG?
A plain-English explanation of RAG (Retrieval-Augmented Generation) — what it means, why it matters, and how it is used in AI.
RAG
Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is a technique that combines a search or retrieval step with AI text generation. Instead of relying solely on training data, the model first retrieves relevant documents from a knowledge base, then uses that information to generate a more accurate response.
"A customer service chatbot uses RAG to search the company knowledge base before answering, ensuring accurate product information rather than hallucinating."
Also known as: Retrieval-Augmented Generation
Why does RAG matter?
RAG is used to build chatbots that answer questions from private documents, legal databases, or internal company knowledge.
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