Overview
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Learn to build a no-code RAG (Retrieval-Augmented Generation) agent from scratch using n8n and Supabase in this comprehensive step-by-step tutorial. Discover how RAG technology enables AI to search and retrieve information from your private documents, then follow along as you construct a complete workflow that automatically adds new files from Google Drive to a Supabase vector database. Master the process of setting up an AI agent in n8n that can understand and answer questions based on your documents, including detailed guidance on connecting all necessary API keys and credentials. The tutorial covers RAG fundamentals, building the "AI Memory" system, configuring your Supabase vector database, connecting the brain components, creating the AI chat agent, defining agent rules, and integrating all components into a functional system.
Syllabus
00:00 - Intro
01:40 - RAG Explained
03:10 - Part 1: Building the "AI Memory"
06:50 - Setting Up Your Supabase Vector Database
10:57 - Connecting the Brain
14:25 - Part 2: Building the AI Chat Agent
16:17 - Giving Your AI Agent Its Rules
20:33 - Putting It All Together
22:09 - Outro
Taught by
Michele Torti