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Learn to integrate Supabase with n8n for implementing PostgreSQL chat memory and RAG vector storage in this 12-minute tutorial. Discover the differences between PostgreSQL and Supabase, then follow step-by-step instructions to authenticate connections and configure your setup. Build a basic AI agent with PostgreSQL chat memory functionality, test the memory system, and establish a Supabase vector store for Retrieval-Augmented Generation (RAG). Master the process of uploading files to your vector database and validate your complete RAG system implementation through practical testing exercises.
Syllabus
00:00 Overview of video
00:40 What is Postgres vs. Supabase
01:19 Setting up the basic AI agent
01:40 How to set up Postgres Chat Memory
05:26 Testing the Postgres Chat Memory
06:16 How to set up Supabase Vector Store for RAG
08:55 Upload files to your Supebase Vector Store
10:48 Testing the RAG system we just built
11:27 Outro & closing thoughts
Taught by
Bart Slodyczka