Ranking Web of Universities: Webometrics

Researchers proved that “naive RAG” beats every complex memory system. A new paper just dropped comparing these elite, complex memory systems against "Naive RAG." Naive RAG won. It beat 12 different complex systems across 6 out of 7 benchmarks. Developers have spent years building architectures that explicitly rewrite, update, and delete memories to make agents "smarter." Researchers found this buys almost zero accuracy gains. when they tried adding graph expansion, raw summaries, or atomic facts to the naive rag setup, the performance literally dropped by nearly 20 points on one benchmark. why? because complex systems destroy the original context.. they break apart the relations and dependency paths needed to actually answer the question. naive rag just takes the raw history, embeds it into a flat index, and hands the pure evidence straight to the llm.. it turns out preserving raw information is the most important thing you can do for accuracy. oh, and it's massively faster.. the simple setup finished ingestion and retrieval in about 5 minutes, making it up to 30 times faster than complex systems like EverMemOS. we are spending millions of compute hours trying to make agents "think" about their memories when simple search was the answer the whole time..