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[2/2] KNN classifier (lands dataset)

18 nodes · httpRequest, executeWorkflow

Engine
n8n
Nodes
18
Trigger
scheduled/triggered
Source file
1730_HTTP_Executeworkflow_Automation_Webhook.json

Workflow flow

IntegrationsHTTPExecuteWorkflowCodeSetIF
100%
TRIGGER

Execute Workflow Trigger

ExecuteWorkflow

Image Test URL

Set

Embed image

HTTP

Qdrant variables + embedding + KNN neigbours

Set

Propagate loop variables

Set

Majority Vote

Code

Check tie

IF

Increase limitKNN

Set

Return class

Set

Query Qdrant

HTTP

10 steps · flows top to bottom, branches left to right

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Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

[2/2] KNN classifier (lands dataset) is a free n8n workflow on OpenRuna — 18 nodes connecting httpRequest, executeWorkflow. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"[2/2] KNN classifier (lands dataset)" automates a httpRequest-to-executeWorkflow flow in n8n across 18 nodes. 18 nodes · httpRequest, executeWorkflow Execution begins at the scheduled/triggered trigger and flows through the 18 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Benchmark it against your current httpRequest integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 18-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the httpRequest stack.
  • Study how data moves from httpRequest to executeWorkflow before building your own variant.

Example output

Imported into n8n, "[2/2] KNN classifier (lands dataset)" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, executeWorkflow. Set your credentials on the httpRequest node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "[2/2] KNN classifier (lands dataset)" into Claude and ask it to explain each of the 18 nodes. Claude is good at suggesting credential mappings for httpRequest, executeWorkflow, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "[2/2] KNN classifier (lands dataset)" to your accounts — which httpRequest, executeWorkflow credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 18 nodes.

Frequently asked questions

How do I import "[2/2] KNN classifier (lands dataset)" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "[2/2] KNN classifier (lands dataset)" use?
It uses: httpRequest, executeWorkflow. The flow diagram above shows how each service connects across the 18 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own httpRequest and executeWorkflow credentials in n8n after import.
What trigger type does "[2/2] KNN classifier (lands dataset)" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "[2/2] KNN classifier (lands dataset)" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for httpRequest, executeWorkflow.

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