<ul><li>This article provides a step-by-step guide to evaluating NLQ-to-SQL pipelines.</li><li>The article covers metrics such as F1 scores for entity types, semantic equivalence score, Halstead complexity score, SQL injection pattern detection, data retrieval accuracy, and resource utilization.</li><li>Practical recommendations are provided for each metric, helping to interpret the scores and identify areas for refinement, debugging, or enhancement.</li><li>Rigorous evaluation and metric-driven feedback loops are crucial for building trustworthy NLQ-to-SQL systems powered by LLMs.</li></ul>

NLQ-to-SQL Evaluation: A Hands-On Guide

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