LARQL treats neural network weights as a graph database for direct querying. This approach allows developers to inspect internal model states using a structured query language. It bypasses traditional tensor slicing. Practitioners can now isolate specific weight patterns without writing complex indexing code, though the tool remains an early-stage experimental project.