LARQL treats neural network weights as a graph database for direct querying. This tool allows researchers to isolate specific weight patterns without manual tensor slicing. It simplifies the process of auditing model internals. Practitioners can now map internal representations to specific outputs more efficiently, though its utility remains limited to niche interpretability tasks.