Killing RAG: How a Six-Line Rule Replaces Retrieval-Augmented Generation as Memory
An AI researcher argues that RAG (Retrieval-Augmented Generation) is fundamentally flawed as a memory mechanism because vector similarity does not equal temporal truth. They propose a six-line rule that prioritizes the most recent unfogotten version of a fact, treating time as a first-class entity. The rule, implemented in a Rust system, demonstrates higher accuracy than a two-stage neural pipeline with bge-m3 and gemma3 on counterfactual tests.
BAAI
Habr — хаб ИИ05.08 · 13:03
