New Features
Fabric Data Agents for AI Query
EARLY ACCESS
AI Query now extends beyond Databricks Genie to Fabric Data Agents, using your Power BI connectors.
AI Query lets a provider provision access to an agent they have already built, directly through the Harbr UI. Questions and answers come back as text and table responses.
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Providers register an agent by choosing a connector, selecting from the agents that connector can reach, and publishing.
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Consumers with the 'access' permission on a product can ask questions in natural language. They do this in a chat window that opens from the product page and from My Collection.
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No credentials are shared and no data is moved onto the platform. Every question goes through Harbr using the connector's identity, and each one is recorded so usage and cost are visible.
For user guidance, see AI Query Assets.
Please reach out to your Harbr account manager if you are interested in setting up this feature.
AI Query asset MCP tool
EARLY ACCESS
Your AI assistant can now work with AI Query assets, using the model of your choice, through the new AI Query tool in the Harbr MCP. This allows you to gain insight and value from the data the AI Query asset has access to all from within your existing AI chat interface. It sits alongside the existing subscribe, export, and data-sharing tools.
If you do not see the new tool right away, disconnect and reconnect your AI assistant to refresh the available tool list.
For user guidance, see the update to Using the Harbr MCP.
Please contact your Harbr Account Manager if you are interested in setting up this feature.
Improvements
SEO improvements to Open Pages
Public Pages are now built to be indexable, enabling Organic acquisition. Making public pages findable and searchable as they are able to work properly with search engines and link sharing - driving Top of Funnel.
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Search-ready product pages and open pages
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New Search and discoverability section in open-page editor
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Faster, fully-crawlable hubs
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Edits go live faster
For full detail, see Open Pages.
Delete users who were invited but never accepted
You can now delete a user who was invited but never accepted or registered, and re-invite them if needed. This builds on user deletion, introduced in 5.32.
See Delete a User
Fixes
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Scheduled asset updates are now more reliable.
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Queries issued by Harbr now appear as Harbr in your Databricks Query History, rather than as "Unknown".
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Column descriptions now appear alongside column names and data types when selecting columns on the Export screen.