Databricks 分享 Genie Ontology 分层构建指南：从单一高价值域起步
Databricks 这份指南教你怎么把 Genie Ontology 越用越准，从数据基础到权限治理一步步搭，建议先挑一个高价值业务域做起。
Databricks 在一条指南中指出，Genie Ontology 上线第一天就能工作，但答案质量取决于其下层的业务上下文。
文章给出一条分层路径：强化数据基础、丰富元数据、建模关键业务语义、整理可信资产、治理访问权限，并持续评估改进。建议不必一次性完成所有步骤，先从一个高价值业务域开始，把最重要的定义和数据来源固化后再逐步扩展。
Genie Ontology works on day one, but the quality of its answers improves as the business context underneath it gets stronger.
A practical path is to build that context layer by layer:
↳ Strengthen the data foundation ↳ Enrich metadata ↳ Model critical business semantics ↳ Curate trusted assets ↳ Govern access ↳ Evaluate and improve over time
You don’t need to tackle everything at once. Start with one high-value domain, harden the definitions and sources that matter most, then expand as you learn.
Read the guide: https://t.co/xXFe1qYQ30
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include Databricks, Genie Ontology, 数据治理, RAG.
Source attribution: curated from Databricks (@databricks).
