LARQL treats neural network weights as a graph database to enable complex structural queries. This tool allows researchers to isolate specific weight patterns without writing custom Python loops. It simplifies weight analysis for LLM interpretability. Practitioners can now audit model internals using a declarative query language instead of manual tensor slicing.