Vertex AI Agent Builder: Data store issue with FAQ document retrieval

Hey everyone,

I’m having trouble with the Agent Builder in Vertex AI. I set up the tool with three data stores, and the website data store works fine. But when I try to search for FAQ documents, it’s not returning results even for exact matches.

I’ve tried a bunch of things:

  • Detaching and reattaching the data store
  • Deleting all FAQ docs and uploading them again
  • Checking if any docs are searchable (some are, but most aren’t)

Nothing seems to fix it. I’m at a loss for how to debug this. Has anyone run into this problem before? Any ideas on what might be causing it or how to troubleshoot?

I’d really appreciate any help or suggestions. Thanks!

hey dancingbutterfly, sucks that ur having trouble! have u tried playing around with the chunk size settings for faq docs? sometimes that messes with retrieval. also, check if the faq format matches what vertex ai expects - seen weird issues with inconsistent formatting. good luck!

I’ve run into this exact problem before, and it was a real headache. What finally worked for me was diving into the data store configuration settings. There’s an option to adjust the ‘relevance score threshold’ - try lowering it gradually. This can help surface more results, including those exact matches you’re missing.

Another thing to check is the tokenization method used for indexing. Sometimes, the default tokenizer doesn’t play well with certain types of FAQ content. If you have access, try switching to a different tokenizer or adjusting its parameters.

Lastly, and this might sound odd, but check your system clock. I once spent days troubleshooting only to realize my VM’s clock was off, causing authentication issues with the API. It’s a long shot, but worth checking if nothing else works.

Keep at it - these issues are frustrating but usually solvable with some persistence.

I’ve dealt with similar issues in Vertex AI Agent Builder. One thing that worked for me was adjusting the search settings. Try increasing the semantic search similarity threshold - sometimes it’s set too high by default, causing exact matches to be missed. Also, check if there are any filters applied to your FAQ data store that might be unintentionally excluding certain documents.

If those don’t work, you might want to look into the document preprocessing pipeline. Occasionally, formatting issues in the original documents can cause indexing problems. Exporting your FAQs, cleaning them up in a text editor, and re-importing might resolve the issue.

Lastly, don’t forget to retrain your agent after making changes to the data stores. Sometimes the model needs a refresh to properly incorporate updates. Good luck troubleshooting!

hey dancingbutterfly, that sounds frustrating! have u tried clearing the cache and rebuilding the index for the faq data store? sometimes that can help when docs aren’t showing up properly. also double check ur query formatting - small typos can mess things up. hope u get it working soon!

I encountered a similar issue with Vertex AI Agent Builder recently. One thing that helped was double-checking the data format of the FAQ documents. Make sure they’re in a supported file type and structure. Also, verify that the content is properly indexed - sometimes large documents or unusual characters can cause problems.

Another approach is to review the search configuration. Adjust relevance settings or try different search algorithms if available. Sometimes tweaking these parameters can significantly improve results.

If all else fails, consider reaching out to Google Cloud support. They might have insights into specific quirks or known issues with the FAQ document retrieval process. Don’t hesitate to escalate if you’ve exhausted other options. Good luck resolving this!