Auto-Ontology
An open context layer that helps agents give fewer wrong answers on enterprise data.
Why Auto-Ontology
Agents can retrieve documents and query databases, but reliability is what gates
agentic analytics: a revenue figure delivered faster is worth nothing if it's
wrong. Before an agent queries, it needs to know where the data lives, what it
means, whether to use it, how to use it, where it came from, and what is
similar.
Auto-Ontology is a service you run next to your databases to give agents that
context. It compiles their metadata into an ontology: business terms mapped to
columns, reviewed SQL for measures, and the relationships between tables. Agents
query through the ontology, and people review it in a web UI. It complements the
semantic models you already own.
With Auto-O (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/NVIDIA/auto-ontology)获取最准确的信息。

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🔗 **原文链接**: [NVIDIA/auto-ontology (⭐ 2,053 stars today)](https://github.com/NVIDIA/auto-ontology)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
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> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-11-04 22:02