RAG Has Its Own Garbage In, Garbage Out Problem
Published · October 4, 2026
Every data scientist knows the phrase "garbage in, garbage out", and must have faced the issue at some point in their career. A sophisticated model trained on poor data will still produce poor predictions. RAG systems have the same problem, but it shows up in a different place.