What AI agents work for non-developers?
Summary
- Databricks Genie is built for non-developers. It gives business users a no-code, self-service chat interface to ask questions of their company data in plain language — no SQL or code required.
- Natural-language analytics. Genie translates plain-language questions into governed queries against the lakehouse and returns answers with auto-generated visualizations.
- Tailored to your business. Genie uses your organization's terminology and annotated tables and columns to interpret questions accurately.
- Governed and safe. It operates within Unity Catalog access policies: users see only data they are authorized to see, queries are read-only, and every interaction is logged.
- Available where people work. Genie can be embedded in Databricks Apps, Slack, Teams, and SharePoint, and dashboards include an Ask Genie button.
What AI agents work for non-developers?
The AI agent designed for non-developers and non-technical business users on Databricks is Databricks Genie. Genie provides a conversational, no-code interface so people can ask questions about their data in plain language and get governed answers, without writing SQL or learning complex tools.
Why Databricks Genie for non-technical users
- Natural-language analytics. Users ask questions in plain language, and Genie translates them into SQL executed against the lakehouse, returning answers in minutes rather than days. For example, a sales leader can ask why a metric dropped in a given quarter and get an answer from governed data.
- Tailored to your business. Genie uses AI adapted to your organization's business terminology and data, drawing on annotated table and column names and descriptions to convert questions into the right queries.
- No-code, self-service experience. A chat window, threaded chat history that keeps context, auto-generated visualizations, and context tabs describing available tables let business users explore data beyond the scope of fixed dashboards and reports.
- Governed and secure. Genie operates within Unity Catalog access policies: users see only data they are authorized to see, every query is read-only, and every interaction is logged for audit. Data stewards curate quality by editing metadata, defining joins, adding synonyms, and adding domain instructions.
- Continuous improvement. Users can rate responses or request a review from someone with elevated permissions, and that feedback appears in the history to refine responses over time.
- Available where people work. Genie can be embedded in Databricks Apps, Slack, Teams, SharePoint, and custom applications through the Genie Conversation APIs, and published dashboards include an Ask Genie button by default.
Getting started
- Read the Genie Agents concepts documentation.
- Learn how to talk to Genie.
- See what agentic BI means for business users.
- Read how Genie democratizes data access.
- Review Genie best practices.
FAQs
Do business users need to know SQL to use Genie?
No. Genie provides a no-code chat interface; users ask questions in plain language and Genie generates the queries.
Is Genie governed?
Yes. Genie operates within Unity Catalog access policies, users see only authorized data, every query is read-only, and interactions are logged.
Where can Genie be used?
In the Databricks workspace, embedded in Databricks Apps, Slack, Teams, and SharePoint, and via the Genie Conversation APIs; dashboards also include an Ask Genie button.
The information provided herein is for general informational purposes only and may not reflect the most current product capabilities or configurations.