Inference
vector DB that stayed out of the way - Printable Version

+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Training & Customization (https://www.datasculpting.ai/inference/forumdisplay.php?fid=13)
+--- Forum: Model Merging (https://www.datasculpting.ai/inference/forumdisplay.php?fid=57)
+--- Thread: vector DB that stayed out of the way (/showthread.php?tid=909)



vector DB that stayed out of the way - cozygrid12 - 10-08-2026

Posting this in case it saves someone else a little time.

I'm not trying to build a perfect architecture diagram. I just want a sane starting point around vLLM and GB200.

I'm especially interested in mistakes worth avoiding.

This is mostly for local work rather than public serving.


Re: vector DB that stayed out of the way - deltagrid - 10-09-2026

That matches what I was seeing. I ended up in about the same place using Ollama. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable.


Re: vector DB that stayed out of the way - torchdesk - 10-09-2026

A couple questions before I guess too hard. What model, what runtime, and roughly what context size?


Re: vector DB that stayed out of the way - kernelhouse70 - 10-09-2026

A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at INT4. Not glamorous advice, but repeatable baselines save a lot of time.


Re: vector DB that stayed out of the way - oxiderunner - 10-12-2026

that fixed it for me too.


Re: vector DB that stayed out of the way - routeforge64 - 10-12-2026

Appreciate the detail. I don't think your conclusion is far off.


Re: vector DB that stayed out of the way - edgeriver - 10-14-2026

That matches what I was seeing. That matches what I saw on Threadripper box. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.