Uploaded August 2026 | Updated September 2026, 2 weeks ago
When AI agents don't know what your business terms actually mean, they guess — and your teams stop trusting the answers. Pages, built into Databricks' Unity Catalog, gives data stewards a native home to author and publish authoritative definitions of business concepts: metrics, terms, entities, and more.
In this demo, you'll see how Pages works end-to-end:
How Pages fits into Genie Ontology and Unity Catalog Semantics
Authoring a Page with Genie Code (AI-assisted drafting from your existing source material)
How business users discover and search authoritative definitions in Discover
How Genie One grounds its answers in Pages — with citations
Collaboration and governance workflows for keeping definitions accurate
Bulk bootstrapping: turning an existing glossary spreadsheet into Pages in minutes
Whether you're a data steward governing definitions, a business analyst trying to trust your metrics, or a platform admin bringing order to a sprawling data estate — Pages closes the loop between your data and the business context that makes it meaningful.
0:00 The AI Context Problem
0:45 Introducing Genie Ontology
1:45 What is Pages?
2:20 Navigating Pages in Unity Catalog
3:10 Creating a Page: Structured Fields & Synonyms
4:15 AI-Assisted Authoring with Genie
5:10 Enriching Pages & Linking Data Assets
5:50 Draft & Publish Workflow
6:25 Business User: Finding Authoritative Answers
7:20 Genie Q&A Grounded in Ontology
8:40 Synonym Matching & Citation in Action
9:10 Collaboration: Suggestions & Comments
9:55 Bulk Bootstrapping from Existing Glossaries
11:00 Summary & Beta Access
Explore how to set up domains, author Pages, and connect them to Genie: docs.databricks.com/aws/en/uc-semantics/pages
When AI agents don't know what your business terms actually mean, they guess — and your teams stop trusting the answers. Pages, built into Databricks' Unity Catalog, gives data stewards a native home to author and publish authoritative definitions of business concepts: metrics, terms, entities, and more.
In this demo, you'll see how Pages works end-to-end:
How Pages fits into Genie Ontology and Unity Catalog Semantics
Authoring a Page with Genie Code (AI-assisted drafting from your existing source material)
How business users discover and search authoritative definitions in Discover
How Genie One grounds its answers in Pages — with citations
Collaboration and governance workflows for keeping definitions accurate
Bulk bootstrapping: turning an existing glossary spreadsheet into Pages in minutes
Whether you're a data steward governing definitions, a business analyst trying to trust your metrics, or a platform admin bringing order to a sprawling data estate — Pages closes the loop between your data and the business context that makes it meaningful.
0:00 The AI Context Problem
0:45 Introducing Genie Ontology
1:45 What is Pages?
2:20 Navigating Pages in Unity Catalog
3:10 Creating a Page: Structured Fields & Synonyms
4:15 AI-Assisted Authoring with Genie
5:10 Enriching Pages & Linking Data Assets
5:50 Draft & Publish Workflow
6:25 Business User: Finding Authoritative Answers
7:20 Genie Q&A Grounded in Ontology
8:40 Synonym Matching & Citation in Action
9:10 Collaboration: Suggestions & Comments
9:55 Bulk Bootstrapping from Existing Glossaries
11:00 Summary & Beta Access
Explore how to set up domains, author Pages, and connect them to Genie: docs.databricks.com/aws/en/uc-semantics/pages
