Hey everyone, I’m stuck with a problem in Google Cloud’s Vertex AI Agent Builder. I made a Data Store for my chatbot and uploaded a CSV with Q&A info. Now I want to make the ‘Question’ field the primary key, but it’s not working.
When I try to change the schema settings, I get this error:
Schema update doesn't support adding the key property annotation for schema with active documents. Key property mapping mismatch for field 'Question'.
I’ve tried editing the schema directly after uploading the data, but no luck. Has anyone run into this before? Any ideas on how to fix it without starting over? Thanks for any help!
I’ve dealt with this exact issue in Vertex AI Agent Builder. It’s frustrating because once data is loaded, there’s no direct way to change the primary key. What worked for me was to export the current data to a CSV file, then create a new Data Store with the proper schema—making sure the ‘Question’ field is set as the primary key—and finally import the CSV into the new setup.
Although this method can feel like a hassle compared to starting from scratch, it reliably resolves the problem. For larger datasets, consider using the Vertex AI API for bulk operations for added efficiency. Always verify your schema before uploading data to save time and avoid complications down the road.
ugh, that sux man. been there b4. sadly u cant change keys after uploading 
ur only option is to make a new datastore w/ the right setup n reupload. its a pain but beats starting over. pro tip: double check ur schema first next time lol. good luck!
hey swimmingshark, that error’s a pain! i ran into it too. sadly, you cant change primary keys after uploading data your best bet is probably to create a new datastore with the right schema, then reupload your csv. it sucks but at least itll work. good luck!
I’ve encountered this issue before, and it’s indeed frustrating. Unfortunately, Vertex AI Agent Builder doesn’t allow changing primary keys post-data upload. The most efficient solution is to create a new Data Store with the correct schema, ensuring ‘Question’ is set as the primary key from the start. Then, export your current data and re-import it into the new store. While it’s not ideal, it’s faster than rebuilding from scratch. In the future, always double-check your schema before uploading data to avoid this headache. If you’re dealing with large datasets, leveraging the Vertex AI API for bulk operations can significantly streamline the process.
I encountered a similar issue with Vertex AI Agent Builder. Unfortunately, changing the primary key after data upload is not supported. A solution that worked for me was to export the current data, create a new Data Store with the correct schema, and then reimport the data. Although this approach is not ideal, it is the most straightforward workaround. For larger datasets, using the Vertex AI API for bulk operations can be more efficient. Verifying your schema before uploading data can help prevent this problem in the future.