---
title: "Introducing Genie One, Genie Agents, and Genie Ontology"
url: https://daily.dev/posts/introducing-genie-one-genie-agents-and-genie-ontology-55m4qwti1
source_url: https://www.databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents
type: article
source: "databricks"
published: 2026-06-16T13:03:26.668Z
updated: 2026-06-16T13:07:10.318Z
tags: ["ai", "databricks"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Introducing Genie One, Genie Agents, and Genie Ontology

**[databricks](https://daily.dev/sources/databricks)** · 6 min read · 0 upvotes · 0 comments

## Summary

Databricks is launching Genie One, a data-smart AI coworker for business users, along with Genie Agents and Genie Ontology. Genie One integrates natively into Slack, Microsoft Teams, and mobile apps (iOS/Android), letting users ask natural language questions grounded in enterprise data. Genie Agents replace the previous Genie Spaces, enabling domain experts to create curated AI agents from a single prompt. Genie Ontology is an automatic context layer that extracts and organizes knowledge from tables, queries, dashboards, and pipelines into a living graph, using a PageRank-like authority model to determine trusted sources. Internal benchmarks show Genie answered 84.5% of enterprise data questions correctly on the first attempt versus 52.4% for the strongest general-purpose coding agent, while also being 2× faster. Governance is enforced via Unity Catalog and Unity AI Gateway.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#databricks](https://daily.dev/tags/databricks)

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