LARQL treats neural network weights as a graph database to enable structured querying of model internals. This tool allows researchers to isolate specific weight patterns without manual tensor slicing. It simplifies the process of auditing LLM parameters. Practitioners can now map weight relationships more intuitively to better understand how neural networks store specific knowledge.