Unity Catalog Pages: a governed home for your business knowledge in Genie Ontology

Every AI agent is only as good as the context it is grounded in. Ask an agent a question about revenue, active customers, or churn, and the quality of the answer depends entirely on whether the agent understands what those words mean inside your business.

In many organizations, that meaning does not live in one place. It is scattered across Slack threads, Confluence pages, spreadsheets, and the tribal knowledge in a few people's heads, and the same term is often defined three different ways by three different teams. So when an agent hits an ambiguous concept, it does what LLMs do best: it guesses confidently, even when it is wrong. This gap is one of the biggest barriers to enterprises trusting AI with real business questions.

This is the problem Genie Ontology was built to solve. Genie Ontology is Databricks’ enterprise context layer for all AI: it automatically learns how your business works by extracting knowledge from your dashboards, queries, tables, pipelines, and connected apps, and organizes it into a living graph that tells Genie and other agents where to look and what to trust.