Databricks Genie Agents

Create, manage, and query Genie Agents (formerly Genie Spaces) - natural language interfaces for SQL-based data exploration.

Overview

Genie Agents allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally.

A Genie Agent is a curated agent scoped to specific data — its tables, sample questions, and instructions are authored for a particular business area. This is distinct from Genie One / the general "ask Genie" data-discovery path (see the databricks-data-discovery skill), which answers questions across your data without a curated, per-scope agent.

Creating a Genie Agent

Step 1: Understand the Data

Before creating a Genie Agent, explore the available tables to:

• Select relevant tables — typically gold layer (aggregated KPIs) and sometimes silver layer (cleaned facts) or metric views
• Understand the story — what business questions can this data answer? What insights can users discover?
• Design meaningful sample questions — questions should reflect real use cases and lead to actionable insights in the data