![]() |
|
Search / Retrieval / Reranking discussion with vLLM - Printable Version +- 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 with vLLM (/showthread.php?tid=1272) |
Search / Retrieval / Reranking discussion with vLLM - visionforge - 10-15-2026 Thought I'd post a small recipe because a lot of threads ask similar things. Just sharing a setup that ended up working reasonably well: Phi, SGLang, A6000, with a lot of attention on token cost. If someone wants the exact settings I can clean them up and post them. This is mostly for local work rather than public serving. Re: Search / Retrieval / Reranking discussion with vLLM - promptspark58 - 10-17-2026 That matches what I was seeing. The pattern around continuous batching has been pretty similar for me. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: Search / Retrieval / Reranking discussion with vLLM - cacheplane98 - 10-17-2026 What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at reranking. The logs were somehow calmer than I was. |