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when RAG was overkill - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Training & Customization (https://www.datasculpting.ai/inference/forumdisplay.php?fid=13) +--- Forum: Distillation (https://www.datasculpting.ai/inference/forumdisplay.php?fid=55) +--- Thread: when RAG was overkill (/showthread.php?tid=1127) Pages:
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when RAG was overkill - homelabhenry - 10-12-2026 This keeps coming up in conversation so I figured I'd start a thread. One thing I keep noticing is that people underestimate batch size until they actually try to run this stuff for more than one afternoon. Curious whether that lines up with what other people are seeing. My use case is pretty ordinary: local chat, some document work, and occasional batch jobs. Re: when RAG was overkill - quantshed - 10-14-2026 What exact setup are you running? Are you testing this on dual 3090 or something else? Re: when RAG was overkill - sanescope - 10-15-2026 Quote:What exact setup are you running? Are you testing this on dual 3090 or something else? I don't think that's the whole story. I get why that seems right, but on 5090 the bottleneck felt elsewhere. Could be a workload difference, but I wouldn't generalize too fast from one setup. Re: when RAG was overkill - southspark - 10-17-2026 Quote:Quote:What exact setup are you running? Are you testing this on dual 3090 or something else? I tested this tonight. The issue went away once I changed one setting and restarted the stack cleanly. Re: when RAG was overkill - deepseeked - 10-17-2026 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. Turns out 'just one more test' was a lie. Re: when RAG was overkill - fastbench - 10-17-2026 following this because I'm in the same boat. Re: when RAG was overkill - plainscope50 - 10-17-2026 Interesting, I hadn't tried that. I ended up in about the same place using llama.cpp. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: when RAG was overkill - tensorkite - 10-18-2026 Quote:Interesting, I hadn't tried that. I ended up in about the same place using llama.cpp. I got better results once I stopped chasing one metric and just I tested this tonight. On 7900 XTX with SGLang, I saw basically the same behavior. Re: when RAG was overkill - quiettoken - 10-18-2026 Quote:Need a little more detail here. Are you testing this on 4090 or something else? What exact setup are you running? Do you see the same thing with a smaller batch or shorter prompt? Re: when RAG was overkill - papermixer4 - 10-18-2026 Interesting, I hadn't tried that. I ended up in about the same place using vLLM. |