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纯 LLM 做 NL2SQL 总不准？金融场景为什么必须做本体工程
首次上榜 2026-09-21
摘要
文章用一个金融问数的生产案例说明，纯 LLM 的 NL2SQL 方案按概率生成 SQL，无法确定“有效保单”究竟对应 status_code=1 还是 status_flag='Y'，一旦映射错误结果就是静默错，业务方很难察觉。作者据此梳理固定报表、自助 BI、AI 问数、本体驱动认知智能四个阶段，论证需要引入本体作为统一查询口径的“语义导航系统”，对做强准确度问数产品的工程团队有参考价值。
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