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English(EN) Text-to-SQL Was the Wrong Bet. The Semantic Layer Is the Real Interface

语义层,而非 Text-to-SQL,才是真正的 LLM 接口

文章认为,将 Text-to-SQL 作为 LLM 的焦点是错误的,因为真正的挑战在于理解业务逻辑,而不仅仅是 SQL 语法。诸如“活跃用户”或“净收入”之类的业务定义至关重要,它们存在于语义层,而不是原始数据库模式中。作者认为,像 dbt metrics 构建的语义层,应该被视为 AI 代理的 API 合约,为治理和护栏提供稳定的基础,而不仅仅是商业智能的便利。 AI

影响 将焦点从 SQL 生成转移到语义层集成,以实现更强大的 AI 代理功能。

排序理由 文章提出了关于 LLM 开发方向和数据接口的观点。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

语义层,而非 Text-to-SQL,才是真正的 LLM 接口

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文章提出了关于 LLM 开发方向和数据接口的观点。
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · AI Explore ·

    Text-to-SQL 是个错误的赌注。语义层才是真正的接口

    <blockquote> <p><strong>TL;DR —</strong> Years of effort went into making LLMs better at writing SQL against raw warehouse schemas, but that's solving the wrong layer of the problem. Business logic — what a customer, a churn event, or net revenue actually means — lives in the sem…