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Join my free AI automation community + free templates ⤵️ https://www.skool.com/automation-hub-4456 Need custom software? Work with me ⤵️ https://www.cyanstack.com/ Summary ⤵️ In this beginner-friendly tutorial, you’ll learn how to automatically keep your RAG (Retrieval-Augmented Generation) data perfectly up to date — no manual uploads required. I’ll show you step-by-step how to auto-sync your Google Drive files with your vector database using n8n, Supabase, and OpenAI embeddings. You’ll build a system that watches for new, updated, or deleted files in Google Drive, and automatically updates your vector database in real time — keeping your AI agent’s context always accurate and current. By the end, you’ll have a fully automated setup that can scale to hundreds of documents and ensure your RAG workflows never fall out of sync again. This is perfect for: • AI agents or chatbots that rely on live document data • Companies managing constantly changing knowledge bases • Developers learning RAG and automation fundamentals • Anyone tired of re-uploading or re-embedding data manually 🛠️ Tools Used ⤵️ • n8n — automation + workflow builder • Supabase — vector database for embeddings • OpenAI — generate and embed document content • Google Drive — document storage + triggers Download the full workflow & templates inside the community ⤵️ https://www.skool.com/automation-hub-4456 🕛 Timestamps: 00:00 Intro — what you’ll build 00:20 What is RAG & Vector DB? 01:40 Why RAG sync matters 02:18 Tools overview 03:12 Workflow 1 — upload new files 08:50 Workflow 2 — handle file updates 13:08 Workflow 3 — handle deletions 14:02 Full test + agent verification 15:21 Free template download 14:30 Recap & download templates ⸻ Thanks for watching! If this helped, drop a 👍 and subscribe for more AI + automation tutorials 🚀