For the last two days I explained vectors and vector databases — the "smart library" that organizes information by meaning, not keywords. Today: what actually happens after that library finds the right book? This is where "RAG" comes in — and it's the real reason your AI doesn't just make things up. What RAG Actually Stands For RAG stands for Retrieval-Augmented Generation. Don't let the term scare you — it's a simple idea once you see it. Most AI models, left on their own, a

Yesterday I explained how AI converts your words into a kind of meaning-based address — a vector. Today: where do all those addresses actually live, and how does AI find the right one almost instantly? A Library That Doesn't Use the Alphabet Picture a library that organizes books not alphabetically, but by what they're actually about. Ask for anything related to "engine trouble," and the librarian walks straight to a shelf full of relevant books — even ones that never use the

Ever typed a question into a chatbot worded completely differently from how you'd normally ask it, and it still gave you the right answer? That's not luck — that's something called understanding meaning, and it's worth knowing how it actually works, especially if you're considering using AI for your own business. Words Become Numbers Here's the part most explanations skip. When you type a question, AI doesn't read it the way you do. It converts your words into a long list of