<ul><li>Retrieving operational data from nuclear power plants requires exceptional accuracy and transparency.</li><li>Traditional NL-to-SQL approaches for querying such data pose risks due to difficulties in validation and complex database structures.</li><li>A new approach leveraging function-calling large language models (LLMs) is proposed to enhance accuracy and maintainability.</li><li>The hybrid approach defines pre-approved functions for querying, ensuring SQL queries are validated and optimized by experts before deployment.</li></ul>

Enhancing Accuracy and Maintainability in Nuclear Plant Data Retrieval: A Function-Calling LLM Approach Over NL-to-SQL

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