LARQL treats neural network weights as a graph database to enable complex structural queries. This tool allows researchers to isolate specific weight patterns without manual tensor slicing. It simplifies the process of auditing model internals. Practitioners can now treat model weights as searchable data, though its utility depends on the complexity of the target architecture.