Developer Builds Minimal RAG System Using 130 Lines of Python Code

On November 12, 2026, a developer published an article on cnblogs titled "Building a Minimal RAG System with 130 Lines of Code," describing how to put together a minimal RAG system using 130 lines of Python with no framework dependencies. The author claims that with this setup, a local 3B parameter model answered 18 out of 20 questions correctly on a company policy Q&A test. The author also argues that the key to the performance does not lie in the model itself, but in how data is fed to it. The article is written from a first-person perspective, presents itself as a reference for a lightweight local RAG implementation, and gives no details about the specific model used. So far only this one report has surfaced, and no follow-up developments have been reported. Whether the stated results hold up under independent verification remains untested, since no other sources have confirmed them.