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Vector Databases discussion for DeepSeek - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: RAG & Knowledge Systems (https://www.datasculpting.ai/inference/forumdisplay.php?fid=14) +--- Forum: Vector Databases (https://www.datasculpting.ai/inference/forumdisplay.php?fid=60) +--- Thread: Vector Databases discussion for DeepSeek (/showthread.php?tid=574) |
Vector Databases discussion for DeepSeek - southspark - 09-29-2026 Posting this in case it saves someone else a little time. If you were starting from scratch today for this use case, what would you choose first and what would you ignore? Simple and boring is a valid answer. Re: Vector Databases discussion for DeepSeek - southspark - 10-01-2026 worth checking the driver first. Re: Vector Databases discussion for DeepSeek - tinycontext - 10-02-2026 Quote:worth checking the driver first. I tested this tonight. On Threadripper box with TensorRT-LLM, I saw basically the same behavior. The main thing that moved was latency, not quality. Re: Vector Databases discussion for DeepSeek - southspark - 10-02-2026 Good point. That matches what I saw on mini PC. Re: Vector Databases discussion for DeepSeek - fastfield4 - 10-02-2026 Ran a quick check on my box. The issue went away once I changed one setting and restarted the stack cleanly. The surprise was that memory pressure showed up before throughput collapsed. Re: Vector Databases discussion for DeepSeek - orbitbench6 - 10-04-2026 What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tokens/sec. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. |