Templates / Analyze Seoul air pollution with MotherDuck and Ollama Qwen2.5

Analyze Seoul air pollution with MotherDuck and Ollama Qwen2.5

Ready for 3.0

by Ramkumar L · 4 views · created 2026-08-10 · Market Research, AI RAG

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This workflow has 5 nodes and runs when an HTTP GET request hits its webhook URL. It uses only n8n's built-in nodes. It also calls api.motherduck.com and ollama:11434 over HTTP.

How it runs

Trigger: When an HTTP GET request hits its webhook URL.

  1. Post to Motherduck API (HTTP Request): calls api.motherduck.com (POST)
  2. Post to Ollama API (HTTP Request): calls ollama:11434 (POST)
  3. Set Response Data (Edit Fields (Set)): sets 1 field: response
  4. Send Webhook Response (Respond to Webhook): sends the response back to the webhook caller

HTTP calls to: api.motherduck.com, ollama:11434

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (4)

From the author

Quick overview This workflow exposes a webhook that queries PM10 air pollution data from a MotherDuck database, sends the results to a local Ollama (qwen2.5:3b) model for analysis, and returns an HTML report showing the top polluted Seoul districts and the…

Excerpt from Ramkumar L's description on n8n.io.

View the original on n8n.io → Check your own copy

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