You built it. You deployed it. And then... the panic sets in. That "smart" AI feature, powered by your RAG pipeline, just started hallucinating expensive, embarrassing, or just plain wrong answers.
The truth is, building a robust Retrieval Augmented Generation (RAG) system comes with hidden traps – common "anti-patterns" that can quietly sabotage your project, tank user trust, and leave you scrambling at 3 AM.
We’ve seen the same painful patterns emerge across dozens of early AI implementations. That’s why we’ve boiled down the most common RAG anti-patterns into clear, actionable insights into this free checklist.