I’m having trouble with my Vertex AI Agent Builder setup. The tool has three data stores. The website data store works fine, but the FAQ documents store isn’t returning results for most queries. Even when I search for exact questions, I get empty responses.
I’ve tried a few things to fix it:
Detached and reattached the data store
Deleted all FAQ documents and uploaded them again
Some FAQ documents show up in searches, but most don’t. I’m not sure how to troubleshoot this issue. Does anyone have experience with this problem or know how to debug it?
I really need help figuring out why the FAQ documents aren’t being found by the search function. Has anyone run into similar issues with Vertex AI Agent Builder? Any advice would be great!
I encountered a similar issue with the FAQ data store in Vertex AI Agent Builder. One solution that worked for me was adjusting the query processing settings. Specifically, I found that tweaking the semantic search threshold and adjusting the number of top k results returned made a significant difference.
Another aspect to consider is the quality and structure of your FAQ content. Ensure your questions are phrased naturally and cover various ways users might ask about a topic. Also, check if your answers are concise and directly address the questions.
If these don’t help, you might want to review the data ingestion logs for any errors during the upload process. Sometimes, silent failures can occur, leading to incomplete indexing of your documents.
I’ve faced similar challenges with the FAQ data store in Vertex AI Agent Builder, and in my experience the issues were often rooted in document formatting and indexing. I learned that verifying whether your FAQ documents comply with supported file formats like PDF or TXT and ensuring that they contain a clear structure for questions and answers is essential.
The default indexing settings might not be capturing all of the necessary information, so I found that minor adjustments in these parameters sometimes improved the results. Additionally, testing with a smaller batch of documents can reveal if special characters or formatting irregularities are at fault.
If these steps don’t solve the issue, it may be beneficial to contact Google Cloud support for more tailored guidance.