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 scripts. It simplifies the process of analyzing model internals. Practitioners can now audit weight distributions and connectivity using a standardized query language instead of manual tensor manipulation.