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GENIE ONTOLOGY

The enterprise context layer for all AI

Give agents a shared business understanding for insights and actions you can trust.
Knowledge graph of marketing data domains.
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BENEFITS

Better AI from what your business already knows

Turn your governed semantics, enterprise assets and everyday activity into reusable knowledge for faster, more accurate answers and actions from every agent.

Learns your business

Spend less time teaching AI how your business works. Genie Ontology automatically learns from the tools and knowledge your business already relies on—including dashboards, notebooks, BI models, documents, and organizational charts.

Returns trusted answers

Get answers grounded in business knowledge you can trust. Genie Ontology ranks context by relevance and authority, respects each user’s permissions and lets you trace definitions and calculations to their sources.

Shared across all AI

Give every connected agent a unified understanding of your business. Genie Ontology shares governed and learned knowledge across Genie and external agents through Model Context Protocol (MCP), reducing the work of teaching each one from scratch.

FEATURES

Knowledge becomes context

Combine governed definitions with learned knowledge, then deliver the most relevant context for each agent’s task.

Genie Ontology unifies continuously learned knowledge and modeled business semantics in a shared, governed context layer for Genie, apps and external agents.

Diagram of Genie AI platform architecture.

More features

Metric Views

Define critical metrics once in Unity Catalog and query them across any related dimension, so every dashboard and agent reports the same number.

Pages

Author governed definitions of business terms and concepts in Unity Catalog, so Genie grounds its answers in what your organization actually means.

Domains

Organize data and AI assets into business-aligned groups, giving agents scoped context with clear ownership and stewardship for every domain.

Certified Assets

Mark assets as certified or deprecated so Genie prioritizes the data your organization trusts and steers users away from what's outdated.

Authority-Based Ranking

Surface context that fits each question with OntoRank, which ranks ontology snippets by relevance and authority.

Permissions-Aware Retrieval

Keep business context within each user's existing permissions so agents receive only the knowledge the user is authorized to access.

Provenance and Citations

See where an answer's business context comes from by tracing definitions and calculations back to their original sources.

USE CASES

How teams use Genie Ontology

Databricks AI chat: document creation query.

Give AI the business context to act autonomously and deliver trusted outcomes

From investigating business performance to preparing an executive summary, Genie One needs to understand what matters to your organization. Genie Ontology provides relevant, authoritative knowledge, so you get more accurate results with less trial and error.

RELATED PRODUCTS

Discover more

Explore products that power and use Genie Ontology.

Genie One

Your data smart agentic coworker for business users to ask questions, get insights and take action right in their workflows.

Genie Code

Analyze, build and optimize with autonomous AI that understands your data.

Genie Agents

Conversational analytics for everyone to engage with data through natural language for specific use cases.

Unity Catalog Semantics

A unified semantic layer for the Databricks Data + AI Platform, centralizing business definitions to power your BI, AI and data use cases.

AI/BI Dashboards

Create fast and secure dashboards and data visualizations for everyone in your organization.

Databricks Apps

Quickly build and secure specialized data and AI apps for your organization.

Take the next step

Genie Ontology FAQ

Genie Ontology is the enterprise context layer that gives all AI a trusted understanding of how your business works. It combines governed business semantics with context continuously learned from your data, applications and activity, then ranks what to trust and respects permissions so agents can deliver more accurate, relevant answers and actions.

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