Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a real thing. Large language models (LLMs) have a habit of confidently serving up plausible-sounding answers that are, well, made up. It's a bit like having a friend who can spin a great story but struggles to stick to the facts.
Enter retrieval-augmented generation (RAG), a framework that’s here to keep AI’s feet on the ground and its head out of the clouds. RAG gives AI a lifeline to external, up-to-date sources of knowledge, turning it from a creative improviser into a reliable resource. You can think of it as equipping your chatbot with a librarian who’s always on hand to fact-check before hitting the “send” button.
