From Zero to RAG Agent: Full Beginner's Course (no code)

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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.

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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