this post was submitted on 07 Apr 2026
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Been running n8n with Ollama for a few months now for work automation. Wanted to share what I've learned since it's not super well-documented.

The setup is just Docker Compose with n8n + Ollama + Postgres. n8n's HTTP Request node talks directly to Ollama's REST API — no custom nodes needed.

What I'm running:

  • Email digest every morning (IMAP → Ollama → Slack)
  • Document summarization (PDF watcher → Ollama → notes)
  • Lead scoring from form webhooks

Zero API costs, everything stays on my server. If anyone wants the workflow templates I have a pack: https://workflows.neatbites.com/

Happy to answer questions about the setup.

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[–] frongt@lemmy.zip 3 points 3 months ago (1 children)

I was playing with ministral-3 3b on a 3060. It loads pretty quick, but response generation is a bit slow. It starts responding nearly instantly once the model is loaded (which is also quick), but for long responses (~5 paragraphs) it may take 15-20 seconds for the whole thing.

[–] surewhynotlem@lemmy.world 4 points 3 months ago (2 children)
[–] CCMan1701A@startrek.website 1 points 2 months ago

I run llms using a 780m you'll be fine. I get pretty close to 10 tokens a second for larger 20B+ models.

[–] frongt@lemmy.zip 1 points 3 months ago

I'd still give it a shot. A quick check of benchmarks suggests it's not that much slower. I don't know if that extends to ML computation though.