The failure mode that scares me most in RAG isn't a wrong answer. It's a confident wrong answer with...
The failure mode that scares me most in RAG isn't a wrong answer. It's a confident wrong answer with three citations that don't actually say what the answer claims.
So in SWIRL 5 I stopped trusting the model to police itself and added a check that runs after generation.
The flow:
Generate the answer with its citations, as usual.
Split the answer into atomic claims — roughly one assertion per sentence.
RAG systems can retrieve correct, well-cited information and still get the answer wrong. Not because the source is bad, but…
A claim-verification layer for a local RAG co-scientist, inspired by Karpathy's llm-wiki pattern. I measured whether it catches…
0 % vs 50 %: making a RAG agent refuse to hallucinate 2026-05-31 · LLM / RAG A...
The first few times a RAG system gave me a bad answer, I did what I think everyone does: I went and...
What RAG architectures are missing between finding information and trusting it.
RAG sounds like a research paper. It's three moves: retrieve relevant chunks, stuff them in a prompt, ask the model to answer…
