+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: RAG & Knowledge Systems (https://www.datasculpting.ai/inference/forumdisplay.php?fid=14)
+--- Forum: Search / Retrieval / Reranking (https://www.datasculpting.ai/inference/forumdisplay.php?fid=61)
+--- Thread: Search / Retrieval / Reranking discussion (/showthread.php?tid=512)
Pages:
1
2
Re: Search / Retrieval / Reranking discussion - quantshed - 09-30-2026
Quote:What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Kimi and compare from there.
I'd approach it in a boring order. If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious.
Re: Search / Retrieval / Reranking discussion - tensorkite - 09-30-2026
Can you fill in a bit more context? Is this local-only or are you routing anything externally?
Re: Search / Retrieval / Reranking discussion - prompttinker44 - 09-30-2026
worth checking the driver first.
Re: Search / Retrieval / Reranking discussion - thetafield - 09-30-2026
My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Kimi and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
Re: Search / Retrieval / Reranking discussion - rocmpath - 10-01-2026
I'd approach it in a boring order. On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives. Not glamorous advice, but repeatable baselines save a lot of time.