How to Connect n8n with Supabase for a RAG-Powered AI Chatbot (Step-by-Step)
In this video, I’ll show you step by step how to connect n8n with Supabase to build a RAG powered AI chatbot using a vector database.
You’ll learn how to connect n8n to Supabase, set up Supabase credentials, create a vector store, and use it for Retrieval Augmented Generation (RAG). This setup allows your AI chatbot to answer questions using your own data with long-term memory.
This tutorial is perfect if you are building AI agents, chatbots, or automation workflows using n8n and Supabase.
What you’ll learn in this video:
• How to connect n8n with Supabase
• Supabase setup for n8n automation
• Creating a vector database in Supabase
• Using Supabase as memory for AI chatbots
• Building a RAG powered chatbot in n8n
• Best practices for n8n + Supabase integration
This guide is beginner friendly and works for no-code and low-code builders, AI automation agencies, and developers.
If you’re interested in AI automation, RAG systems, vector databases, and n8n workflows, make sure to subscribe for more tutorials.
Tools used:
n8n
Supabase
AI embeddings
Vector search
Comment below if you want the workflow template or advanced RAG setup.