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Databricks Genie Ontology

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Within the Genie family, there are three major products:

Genie One: The AI coworker for business users (the focus of this course).

Genie Agent: Curated, no-code agents for specific domains.

Genie Code: The agent experience inside Lakehouse that helps technical users write code and do data work (not covered here).

Genie One relies on three pillars

Context: Through Genie Ontology, it automatically learns your data sources, definitions, and business rules. And with dozens of connectors to third-party tools, it’s not limited to what’s in the lakehouse. It adds context from across your customer’s entire ecosystem and makes sense of all of it.

Outcomes: Genie turns answers into work. It doesn’t just respond to questions; it creates documents, takes action on third-party tools, runs repeatable tasks, and automates workflows on a schedule.

Governance: Genie is governed by design. It enforces the permissions your customer already has, gives admins control over what Genie can access and do, and provides full cost visibility and control.

Think About This:

Your customer has 50 dashboards, 200 tables, thousands of queries, and a dozen connected apps. Somewhere in all of that is the right answer to any business…

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Databricks Community Articles
Databricks Community Articles

Published in Databricks Community Articles

Practical Databricks tutorials, architecture guides, AI insights, product updates, and best practices for modern data professionals + Databricks MVPs (Most Valuable Professionals)