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Introduction to the Catalog AI Assistant
The Catalog AI Assistant has two capabilities: AI Search and Dashboard Q&A. Use them to find data and understand your dashboards.
SQL Copilot was retired on November 5, 2026. See SQL Copilot for details.
AI Search: Find Data You Need
Have you ever felt that finding information in a data catalog was tricky for people on the business side? The AI Search feature helps. Use it in the web app, in the Catalog Slack, Microsoft Teams, or Google Chat apps.
Search Assistant and Natural Language Filters
In AI Search, the Search Assistant can turn plain language into filters so you don't have to open the filter panel for basic narrowing. It recognizes these dimensions:
- Owner: Filter by owner for individual contributors or teams; partial or full match.
- Tag: Filter by tags on assets and on columns where column tags apply.
- Name: Filter by asset name; partial or full match.
For example: Which tables are owned by Alice?, Show dashboards tagged GDPR, or Find assets named customer.
The Catalog search bar also offers Advanced search filters that are not driven through this conversational path: result types such as tables, columns, dashboards, visualization models, fields, or Knowledge; Certified; PII; and tag or owner logic with AND, OR, or exclusion. Use those when you need that level of control. See Search Your Asset.
You can still ask broader discovery questions without naming a filter, for example below.
Question example: What is ARR?

Find out more in AI Search.
Dashboard Q&A: Understand Your Dashboards
When looking at a dashboard on Tableau, Looker, Power BI, and more, you can ask any question about how the dashboard is built, where the data comes from, right from the Catalog browser extension. Use it in the Catalog browser extension.
Question example: How is the dashboard built?
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Find out more in Dashboard Q&A.
Privacy Concerns
Refer to the Catalog AI safety notice for more information.