Ontology is a so-called white-box approach for AI: all dependencies are clearly stated and formalised. If something does not work as you wish, unlike LLMs, in ontology world you can clearly diagnose where the system fails. I understood the NVIDIA's idea this way: we take unreliable LLM and make a "reliable" ontology using it. If you look back into history, Prolog , was exactly a sort of "memory system" or, better put, a human-friendly database. Ontology is a further development of this concept.