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.
Cries in 1070
I run llms using a 780m you’ll be fine. I get pretty close to 10 tokens a second for larger 20B+ models.
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.