Your AI Chatbot Isn't Stupid. It Just Has No Memory. Here's How We Fixed That.
I had a moment in a session a few weeks ago that I haven't stopped thinking about. Someone asked an AI chatbot what their company's refund policy was. The bot answered confidently, fluently, with z...

Source: DEV Community
I had a moment in a session a few weeks ago that I haven't stopped thinking about. Someone asked an AI chatbot what their company's refund policy was. The bot answered confidently, fluently, with zero hesitation. It was also completely wrong. It had invented a policy — 14 days, original packaging, contact support@ — from thin air, because it had never actually seen the company's documentation. It wasn't broken. It was doing exactly what it was designed to do: predict the most plausible-sounding next word. And "most plausible" and "accurate" are not the same thing. That's the dirty secret of LLMs fresh out of training. They're brilliant at sounding right. They're not inherently good at being right — especially about things that aren't in their training data. The fix has a name: RAG. Retrieval-Augmented Generation. It's the most widely deployed AI architecture in enterprise software right now, and once you understand how it works, you'll see it everywhere. First, understand the actual pr