Complexity Simplified #2: Why does AI lie sometimes? Meet RAG.
- Amir Bder
- Jan 22
- 2 min read

Welcome back to TheComplexWorldOfAI's Complexity Simplified. If you’ve ever used an AI and it gave you a "hallucination" - basically a fancy word for lying out of it's ahh - you’ve experienced the "Memory Gap."
Today, we’re talking about RAG, or Retrieval-Augmented Generation (funny that a word that fancy simplifies to a carpet type).
The Fancy Words
RAG is an architectural approach that optimizes the output of a Large Language Model by tapping into targeted information sources outside of its initial training data before generating a response.
In other words...
In Plain English Metaphor: Spotify vs. Your Local Files
Imagine you are using Spotify (the standard AI). It has millions of songs. It’s amazing for general stuff, like rap, rock, lo-fi beats and whatever. But imagine you’re in a local indie band, and you just recorded a demo in your garage yesterday.
If you search Spotify for your song, it won't find it. It might even try to suggest a song with a similar name and swear it’s yours. That is a Hallucination.
RAG is like giving the AI a thumb drive with your specific files on it.
Instead of the AI just guessing based on what it "heard" during training (like Spotify’s library), it does this:
The Search: It looks at your private folder first.
The Retrieval: It finds your specific garage demo.
The Play: It plays (or talks about) your specific music, combined with its general knowledge of how music works.
Why This is very important for Students (or just about anyone)
If you’re a student, for example, RAG is the difference between a "C" and an "A."
Without RAG: You ask an AI to summarize a specific, 50-page niche PDF your professor wrote. The AI might get confused and pull general info from the web that sounds right but is actually wrong for your specific class.
With RAG: You "ground" the AI in that PDF. Now, when you ask a question, the AI is forced to look at that specific document before it answers. It’s like an Open Book Test where the AI is a genius at skimming the pages to find the exact quote you need.
The Bottom Line
Standard AI is like a genius answering from memory (and sometimes making stuff up).
RAG AI is like a genius with a library card, glasses, suspenders, striped socks, asics shoes, slicked hair, tight jeans ... and a magnifying glass.
RAG makes AI trustworthy because it's no longer just "guessing" the next word, it's citing its sources.







Comments