Hey folks, I’m scratching my head over this Vertex AI thing. I set up an Agent Builder for media recommendations, and it’s working fine. But here’s the weird part: I deleted a document from my data store, and the model still shows it in the preview. What gives?
I double-checked everything:
- The document is gone from the data store
- It doesn’t show up in the documents tab
- API calls come up empty
But the model’s like, ‘Nah, I still got it!’ It’s returning deleted stuff.
I’ve been digging through the docs, but I can’t find anything about how the model connects to the data store. Do I need to retrain it every time? Is there some secret indexing thing I’m missing?
I tried purging the data store, but no dice. The model’s still hanging onto old data like a hoarder.
Anyone know what’s going on here? How do I get this model to play nice with my current data?
I’ve encountered a similar issue with Vertex AI Agent Builder. From my experience, there’s often a lag between data store updates and model behavior. The model doesn’t immediately sync with data store changes.
One solution I found effective was to force a reindexing of the data. In the Vertex AI console, look for an option to ‘Refresh’ or ‘Reindex’ your data source. This typically triggers the model to update its knowledge base.
If that doesn’t work, you might need to recreate the agent. It’s not ideal, but sometimes it’s the quickest fix. Just export your agent configuration, delete the current one, and create a new agent with the same settings.
Lastly, check your API calls. Ensure you’re not accidentally caching old results somewhere in your application logic. That caught me out once.
yo, i had this problem too. it’s a pain in the butt. the model’s cache is stubborn af. what worked for me was going into the agent settings and hitting the ‘force update’ button. it’s kinda hidden but it’s there. if that doesn’t work, try deleting and remaking the agent. sucks, but sometimes it’s the only way to kick the cache.