Author argues knowledge graphs improve LLM structure

The author argues that while knowledge graphs are notoriously difficult to construct and conflict with the "bitter lesson" of AI, they can be valuable tools when used to overcome specific weaknesses of large language models. Although they require complex hand-coded ontologies, knowledge graphs provide systematic, repeatable completeness and can be processed cheaply via code to inject structure into AI workflows. Open article →