IM a nobody. So I worked my ass off and spend my last 800 $ (couldn’t pay my bills that month) but I created something that beated Microsoft and research teams on they benchmarks and open source it! It actually got a lot of stars on GitHub, some tracti…
on a real 356-note vault: – ~5k tokens to answer a question vs ~482k to paste the whole vault. -99%! – recall@8 = 1.00 on simple lookups: easy. – multi-hop (answer 2-3 links deep): keyword and vector score 0%, link-walking gets 100%! – same query…
Most methods that get strong multi-hop answers (GraphRAG, HippoRAG, RAPTOR, trained retrievers) build a knowledge graph or fine-tune a retriever over the corpus. That's fine until the data changes — then you re-extract / rebuild / retrain bef…
Jailbreaking is a real issue, but honestly nothing new… Every model gets cracked within days of release. The real question is where the model gets the dangerous knowledge in the first place. It has to be in the training data. So how does a model end up…
The three systems below (HippoRAG 2, CoRAG, NeocorRAG) are among the strongest multi-hop QA frameworks published. Every one of them depends on a GPU, fine-tuning, or constrained decoding to get there. MOTHRAG sits right alongside them on F1, whil…
