Node Reference Library
This workflow is a node visual guide that clearly presents various commonly used nodes, categorized by functional modules such as triggers, data transformation, and AI intelligent agents. Users can intuitively understand the types and purposes of each node, allowing for quick onboarding and design of automated processes, making it especially suitable for beginners and automation designers. With rich external application integration and connection displays, it helps users understand the relationships between nodes and improves workflow design efficiency, making it an ideal tool for learning and reference.

Workflow Name
Node Reference Library
Key Features and Highlights
This workflow presents a visual overview of various commonly used nodes in n8n, categorized and grouped by functional modules such as triggers, data transformation, AI intelligent agents, and more. It serves as an intuitive "node map" or "visual memo," enabling users to quickly understand and familiarize themselves with different node types and their purposes. This facilitates rapid onboarding and efficient automation workflow design.
Core Problems Addressed
- New or beginner users often struggle to quickly grasp the functions of numerous node types in n8n.
- Lack of integrated, systematic reference materials for nodes results in a steep learning curve.
- There is a need for a convenient visual tool to help users quickly locate and comprehend node functionalities, thereby improving workflow design efficiency.
Use Cases
- An onboarding and learning tool for new n8n users.
- A reference library for automation designers to quickly find and select appropriate nodes.
- Supplementary material for educational training or demonstration of n8n node functionalities.
- Example workflow for creating tutorials and video content.
Main Workflow Steps
- Display multiple node categories, including:
- Triggers
- Data Transformation
- AI Intelligent Agents
- Various AI-assisted tools (models, memory, parsers, etc.)
- Application integration nodes (Google Sheets, Gmail, Dropbox, YouTube, etc.)
- Workflow control and core function nodes (conditional logic, loops, HTTP requests, command execution, etc.)
- Each module is marked with sticky notes in different colors for easy visual differentiation.
- Connections between nodes illustrate possible calls or data flows, helping users understand inter-node relationships.
- Integrates a wide range of external application and service nodes, demonstrating n8n’s powerful extensibility.
- Includes a Starter Guide video link provided by IversusAI to assist users in deep learning.
Systems and Services Involved
- OpenAI (language models)
- Google ecosystem: Google Sheets, Google Docs, Google Calendar, Google Drive
- Dropbox
- Gmail and Gmail triggers
- YouTube
- Pushbullet
- Bitly
- Calendly
- Gumroad
- FTP/SFTP services
- Various AI tools and vector storage solutions (Pinecone, Postgres PGVector, Supabase, etc.)
- Other auxiliary tools such as HTTP requests, code execution, file conversion, data aggregation, etc.
Target Audience and Value
- Automation workflow designers and developers: Quickly master n8n node types and functionalities to enhance configuration efficiency.
- IT operations and business process automation personnel: Serve as a quick reference manual for node functions, aiding in building complex workflows.
- AI and data processing enthusiasts: Learn how to integrate various AI models and tools to extend n8n’s automation capabilities.
- Educational institutions and content creators: Provide systematic teaching examples for easier explanation and demonstration.
- Enterprise digital transformation teams: Use this workflow to better plan and design automation solutions for business optimization.
In summary, the Node Reference Library workflow is a rich, well-structured visual guide to n8n nodes. Through modular presentation and practical application examples, it helps users quickly understand and leverage n8n’s powerful node ecosystem, significantly reducing the learning curve and enhancing automation design efficiency.