(5/5)

[2/2] KNN classifier (lands dataset)

Automated workflow: [2/2] KNN classifier (lands dataset). This workflow integrates 7 different services: stickyNote, httpRequest, code, set, stopAndError. It contains 22 nodes and follows best practices for error handling and security.

Integrations Used (2)

HTTP Request

Executeworkflow

Workflow Structure (10 nodes)

100%

Execute Workflow Trigger

Set

Image Test URL

Http Request

Embed image

Set

Qdrant variables + embedding + KNN neigbours

Http Request

Query Qdrant

Set

Propagate loop variables

Code

Majority Vote

Check tie

Set

Increase limitKNN

Set

Return class

Node Types:

http

code

transform

logic

trigger

Requires credentials

Prerequisites

Required Credentials (2)

HTTP Header Auth

Used by: Embed image

Docs

Qdrant

Used by: Query Qdrant

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 54/100

Custom Code

Conditional Logic

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "itzURpN5wbUNOXOw",
  "meta": {
    "instanceId": "workflow-df8a8904",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:46.777716",
    "updatedAt": "2025-09-29T07:07:46.777736",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "[2/2] KNN classifier (lands dataset)",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...