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 analysis of internal model representations. Practitioners can now audit weight distributions using a query language instead of manual tensor slicing.