[Market Trends] This RAG AI Agent with n8n + Supabase is the Real Deal | Cole Medin
📌 Building a RAG AI Agent: No Code, All Power with n8n and Supabase
The video demonstrates how to build a robust RAG (Retrieval-Augmented Generation) AI agent using no-code tools: n8n and Supabase. Most RAG tutorials often lack practical application for real-world production, facing issues as the knowledge base grows and users ask unexpected questions. This tutorial aims to provide a solution that is production-ready, scalable, and cost-effective. n8n is a workflow automation tool comparable to Zapier, while Supabase serves as a database that supports vector storage using PG vector, which is crucial for the RAG model. The tutorial walks through creating a workflow that allows the RAG AI to use any documents as a knowledge base, including adding and updating documents seamlessly. It shows step-by-step instructions on setting up n8n, integrating Supabase, managing chat memory, and handling document updates effectively to avoid duplicates. The aim is to enable users to create an AI agent ready for real-world applications within 15 minutes.
