Feb 24
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All my free resources: https://www.skool.com/automation-hub-4456 Need custom AI software or automation? Work with me ⤵️ https://www.cyanstack.com/ WATCH NEXT: https://youtu.be/8bvL1RphGgk?si=oN-KzxMyStrPVvYW Summary ⤵️ In this video, I’ll show you how to set up Supabase for RAG AI Agents inside n8n, including how to create and connect multiple vector databases, upload documents, run embeddings, and retrieve real answers from your own data. We’ll start from scratch — creating a Supabase project, configuring credentials, running SQL to build a vector store, and then wiring it into an n8n agent that can query documents from a vector database using real embeddings. I’ll also show you how to apply metadata filtering and limits to control responses and test the workflow in real time. By the end of this video, you’ll have a fully working RAG setup with Supabase and n8n, and the ability to scale to multiple vector DBs for different projects or datasets. 🛠 Tools Used • n8n — automation platform • Supabase — vector database + backend • OpenAI Embeddings — text-embedding-3-small • Google Drive — document example input ⏱ Timestamps 00:00 Overview 00:22 Start Build 00:54 Supabase Signup 01:52 Supabase Credentials 02:40 Create Vector DB 04:12 Create multiple vector DB 05:41 Upload data to vector DB 08:31 Test RAG agent 09:38 Limit + Metadata filtering 12:23 Download Free Template Thanks for watching, lmk in the comments if you have questions