Hi Everyone,
I’ve created an agent in Vertex AI Conversational Agent using the “Build Your Own” (not chat) option. I’ve also connected it to a BigQuery dataset via the Data Store tool. I’ve defined instructions in the Playbook and confirmed that the agent is linked to the data store correctly.
However, when I test the agent, it doesn’t return any responses based on the structured data (from BigQuery or a CSV in Cloud Storage). The agent keeps responding with “I don’t have that information” or similar fallback replies.
I’m unsure how to proceed—structured data appears to be set up correctly, but the agent isn’t retrieving or referencing it during conversation. I feel stuck at this point and would really appreciate any guidance, troubleshooting tips, or best practices to resolve this.
Thanks in advance!
Hi @Gargeya,
Welcome to the Google Cloud Community!
It looks like you are encountering an issue where your Vertex AI Conversational Agent, despite being correctly linked to structured data via BigQuery or CSV, isn’t retrieving or referencing that information during your interactions, leading to fallback responses like “I don’t have that information.”
Here are the potential ways that might help with your use case:
In addition, you may want to check this lab that walks through Vertex AI agent setup and data store integration, it’s a useful way to confirm your configuration and make sure no key steps were overlooked.
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