Ai agent connected to fabric data agent and search service not answering fabric questions #174
Replies: 4 comments 2 replies
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Hi @chilukurimadhu - thanks for your question - lots of integrating parts here so want to make sure we know what the path of development was
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Hey @chilukurimadhu , since you haven't responded to @amynic in two weeks, have you found a solution or still need help? |
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Hi Amy ,
Sorry for the late reply, issue not Et resolved.Yes it's a AI agent in
Azure foundry.its connected to AI Search service not uploading files.
Detailed problem statement:
An AI agent was created in Azure AI Foundry, connected to both the Azure AI
Search Service and a Fabric Data Agent, with Cosmos DB storing conversation
history. It worked correctly in Foundry and in a locally hosted Python web
app built in VS Code. However, after deploying the web app to Azure Web
Apps, it initially responded correctly from both data sources, but stopped
returning responses from the Fabric Data Agent after the Lakehouse table
connected to it was recreated. Permissions and access settings have been
verified and are not the cause, as the setup worked initially; the issue
appears to be related to the Fabric Data Agent connection post–Lakehouse
recreation.
…On Thu, 25 Sept, 2025, 8:10 pm Amy Boyd, ***@***.***> wrote:
Hi @chilukurimadhu <https://github.com/chilukurimadhu> - thanks for your
question - lots of integrating parts here so want to make sure we know what
the path of development was
- you mention AI Agent - is this in Azure AI Foundry? Using the Azure
AI Foundry Agent Service?
- If you are using the agent service is the Azure AI Search service
being used or are you adding files to the agent
- Confirming the 'playground' is the Agent playground in Azure AI
Foundry
- sounds like authentication would be a possible cause if other
services are working in your hosted web app scenario - what authentication
is used for the fabric connector?
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Generally the integration issues with the connecting the Fabric Data Agent. Hope you are using the correct workspace and artifacts id of the data agent created. Data Agent can consume semantic model directly (but provide less customizations), however once connected to Lakehouse table by manually selecting it then you can customize the example queries and instructions. Its working for me at CPS agent level by leveraging Fabric Data Agent, similarly connected the same data agent in multi-agents orchestration in Azure AI Foundry agent. Getting good accurate responses as well. |
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created ai agent that is connected to both fabric data agent and search service.
case 1 : It's working well in play ground and created web app locally.
case 2 : when deployed it to azure web app, its only answering questions of search service not fabric lakehouse tables.
but it worked first but when table connected to lakehouse,when table deleted and readded not working.
things tried :
redeployed web app multiple times and created all permissions. still no luck.
app.py
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