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💻 Check out my agency. We build intelligent AI systems for businesses.

Ready to build your first AI agent with real knowledge of your own data? In this step-by-step tutorial, I’ll show you how to go from zero to building your very first RAG (Retrieval-Augmented Generation) agent in just 20 minutes—using n8n and a Supabase vector database.

This is designed for complete beginners. No coding required. You’ll learn what RAG is, how vector databases work, and how to connect it all into a working system that can answer questions based on your documents. If you’ve been curious about AI agents but didn’t know where to start, this is the perfect place to begin.

Business Inquiries:
📧 nate@truehorizon.ai

WATCH NEXT:

TIMESTAMPS
00:00 What is RAG?
01:07 What is a Vector Database?
01:59 RAG Pipeline
03:16 RAG Agent
04:40 Today’s Example
05:10 Data Sources & Agent Triggers
06:22 Build Starts
09:06 Supabase Credential Setup
12:36 OpenAI API Credential Setup
14:20 RAG Agent Build
15:57 Testing RAG Agent
16:42 Reading Agent Logs
17:20 Setting up Memory
21:15 Want to Master n8n?

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: Blue Yeti USB