Overview
This master class introduces n8n, a low-code/no-code automation tool, guiding beginners to advanced users in building automations and AI agents using workflows, integrations, vector databases, and APIs.
Introduction to n8n & Automation
- n8n is a low-code/no-code workflow automation tool using a drag-and-drop interface.
- Enables users to automate repetitive tasks and integrate multiple tools with minimal coding.
- Accessible to non-developers but flexible for advanced users through custom logic and code.
- Key benefits: increases efficiency, reduces errors, saves time/money, improves data handling, enhances customer experience, and enables easy scalability.
Getting Started with n8n
- Two setup options: self-hosted (more control, customizable, requires technical skills) and cloud-hosted (managed, easy setup, monthly subscription).
- Workflows are the automated processes (like recipes) that consist of nodes (steps), with each execution representing a workflow run.
- The n8n interface features a canvas for building workflows, node library, templates, admin panel, and credential management.
Core Concepts: Workflows & Nodes
- Four main node types:
- Trigger (starts a workflow, e.g., new email)
- Action (performs tasks, e.g., send email)
- Data Transformation (modifies data, e.g., merge datasets)
- Logic (adds decision-making, e.g., conditionals)
- Nodes are connected on the canvas; data flows between them step by step.
Example: Google Sheets to Email Automation
- Workflow: Triggered by adding/updating a Google Sheets row, data is summarized by an AI (e.g., GPT-4), and a custom email is sent automatically.
- Step-by-step configuration: set up credentials, connect nodes, map variables, and activate workflow.
Intro to RAG & Vector Databases
- RAG (Retrieval Augmented Generation) combines retrieving information from external sources with AI-generated responses.
- Vector databases store text as vectors, allowing semantic search for relevant info rather than exact matches.
- Workflow: Documents are loaded, split (chunked), embedded, and stored in a vector database (like Pinecone) for later retrieval by agents.
Building AI Agents with n8n
- Agents use chat models and tools (workflows, vector stores, external APIs) to automate tasks or answer questions.
- Agents can access multiple tools, interact via chat, remember conversation context, and automate complex processes.
- Workflows can be reused as tools for agents, and agents can interact with other agents for scalable solutions.
Advanced Integrations: APIs & HTTP Requests
- n8n nodes for APIs (HTTP requests): GET (fetch), POST (send), with endpoints and parameters.
- Most external integrations in n8n are pre-configured, but custom API access is possible using HTTP request nodes.
- Webhooks allow you to trigger workflows from external services (e.g., form submissions).
Workflow Optimization & Error Handling
- Use clear node names and comments for organization.
- Create reusable subworkflows to avoid redundancy.
- Implement error workflows that notify you (e.g., via Telegram or email) if something fails.
- Optimize for scalability with batch processing and smart logic.
Key Terms & Definitions
- n8n — a low-code/no-code automation and integration platform.
- Workflow — a set of connected steps automating a process.
- Node — a single step or action in a workflow.
- Trigger Node — starts a workflow based on an event.
- Action Node — performs a specific task.
- Data Transformation Node — modifies or combines data.
- Logic Node — makes decisions within workflows.
- RAG — Retrieval Augmented Generation; combines retrieval and AI generation.
- Vector Database — stores text as numerical vectors for semantic search.
- API — Application Programming Interface; connects different applications.
- HTTP Request — a method to get or send data over the internet (GET/POST).
- Webhook — a special URL that triggers workflows when accessed.
Action Items / Next Steps
- Set up your n8n environment (cloud or self-hosted).
- Explore and test basic workflows and available templates.
- Experiment with integrating APIs and external services.
- Join the community for collaboration and shared resources.
- Continue learning by building, failing, and optimizing your own automations.