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n8n Workflow Examples#

This directory contains n8n workflow examples organized by difficulty level to support progressive learning.

Directory Structure#

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docs/_workflows/
├── easy/          # 17 workflows - Basic automation and simple integrations
├── medium/        # 23 workflows - Moderate complexity with multiple services
├── hard/          # 9 workflows - Advanced AI/RAG implementations
└── README.md      # This file

Difficulty Levels#

🟢 Easy (17 workflows)#

Perfect for beginners - Simple workflows with 1-12 nodes, single integrations, and straightforward logic.

Examples: - easy-easyslip.json - Basic OCR processing - easy-telegram-basic.json - Simple Telegram bot - easy-form-submission.json - Basic form handling - easy-hass.json - Home Assistant integration

🟡 Medium (23 workflows)#

Intermediate level - Moderate complexity with 4-31 nodes, multiple integrations, and some conditional logic.

Examples: - medium-scrape-website.json - Web scraping automation - medium-email-attachments-analyzer.json - Email processing with AI - medium-hr.json - HR workflow automation - medium-line-download-to-google-drive-easy.json - LINE to Drive integration

🔴 Hard (9 workflows)#

Advanced level - Complex workflows with 15-78 nodes, AI/RAG implementations, vector databases, and sophisticated logic.

Examples: - hard-rag-pgvector-form-multiple-file-upload.json - RAG with PGVector - hard-rag-pdf-local-100.json - PDF RAG implementation - hard-audience-reminder.json - Complex automation with 41 nodes - hard-crm-manual-round-up.json - Advanced CRM with 78 nodes

Usage#

These workflows are referenced in the hands-on guides throughout the n8n course. Each workflow demonstrates specific concepts and techniques that build upon previous lessons.

Integration with Course Materials#

The workflows are designed to support the progressive learning structure of the course:

  1. Start with Easy workflows to understand basic n8n concepts
  2. Progress to Medium workflows to learn multi-service integrations
  3. Challenge with Hard workflows to master advanced AI and automation techniques

File Naming Convention#

All workflows follow the pattern: {difficulty}-{difficulty}-{descriptive-name}.json

  • First prefix: Directory (easy/medium/hard)
  • Second prefix: Difficulty level for clarity
  • Descriptive name: Based on the workflow's actual name in the JSON

Documentation#

For detailed analysis of workflow complexity and renaming history, see: - workflow_complexity_analysis.txt - Technical analysis of all workflows - workflow_name_mapping.txt - Original to new filename mapping - difficulty_rename_mapping.txt - Difficulty-based rename mapping - workflow_completeness_analysis.txt - Completeness analysis of all workflows - workflow_removal_plan.txt - Record of removed incomplete workflows

Quality Assurance#

This repository has undergone cleanup to remove incomplete and placeholder workflows: - 16 incomplete workflows removed - including test files, demos, and placeholder content - 49 complete workflows retained - ready for hands-on integration - All references updated - ensuring hands-on guides work with available workflows - Quality-focused selection - only production-ready workflows are included