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Lesson 4 of 5
AI Agents & Advanced Workflows with n8n
From the course AI-Powered Automation: Zapier, Make & n8n
n8n is the most powerful automation platform for AI workflows. It's open source, self-hostable, and has built-in AI agent capabilities that go beyond simple prompt-response patterns.
Why n8n for AI
- AI Agent node — Built-in agent that can plan, use tools, and iterate
- Vector store support — Connect to Pinecone, Qdrant, Supabase for RAG
- Memory nodes — Agents remember context across interactions
- Self-hosted — Your data never leaves your infrastructure
- Code nodes — Full JavaScript/Python when you need custom logic
n8n AI Agent Architecture
The AI Agent node in n8n works like a mini autonomous agent:
- Receives a task
- Plans which tools to use
- Executes tools (search, database query, API call)
- Evaluates results
- Decides if more tool calls are needed
- Returns final answer
Pattern 1: Knowledge Base Agent
Chat trigger → AI Agent:
- Tool: Vector Store (search company docs)
- Tool: Google Search (search for recent info)
- Tool: Calculator (for numerical questions)
- Memory: Window Buffer (last 10 messages) → Respond with sourced answer
Pattern 2: Data Enrichment Pipeline
Webhook (new lead) → AI Agent:
- Tool: HTTP Request (search LinkedIn, company website)
- Tool: Database (check existing records)
- Tool: OpenAI (summarize findings) → CRM: Update lead with enriched data → Slack: Notify sales with summary
Pattern 3: Automated Report Generator
Schedule (every Monday 8am) → Database: Pull last week's metrics → AI Agent:
- Tool: Database (query for details)
- Tool: OpenAI (analyze trends, write narrative)
- Tool: Chart generator (create visualizations) → Email: Send formatted report to stakeholders
Self-Hosting n8n
Run n8n on your own infrastructure:
docker run -it --rm --name n8n -p 5678:5678 n8nio/n8n
Benefits of self-hosting:
- Full data privacy — nothing leaves your servers
- No per-execution costs
- Custom integrations with internal systems
- Unlimited executions
Key Takeaways
- •n8n's AI Agent node plans, uses tools, and iterates like an autonomous agent
- •Built-in vector store support enables RAG-powered knowledge base agents
- •Self-hosting keeps all data on your infrastructure with no per-execution costs
- •Combine agents with scheduled triggers for automated reporting workflows
- •Memory nodes let agents maintain context across multi-turn interactions
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