How to Build RAG Agents with Vector Database in N8N For Beginners (No-Code Tutorial)

How to Build RAG Agents with Vector Database in N8N For Beginners (No-Code Tutorial) 👉 Vectorize: https://join.vectorize.io/7cv3alek4bf9 In this beginner-friendly tutorial I explain Retrieval-Augmented Generation (RAG) using a real example, show how to upload large PDFs into a vector database, build a RAG pipeline, and query it with an AI agent using GPT. Perfect if you’re new to RAG, vector databases, or building AI agents with n8n. - 🛠️ Resources/Links Mentioned: ✅ self-host n8n and save tons of money with Hostinger: https://www.hostg.xyz/SHIew n8n: https://n8n.partnerlinks.io/47unehvywcem In this video, you will learn how to build your first RAG (Retrieval-Augmented Generation) agent using a vector database inside n8n — all without writing a single line of code. What You'll Learn: ✅ What RAG agents are and how they work ✅ How to connect n8n with a vector database in Vectorize ✅ How to store and retrieve contextually relevant data using embeddings ✅ How to generate AI-powered responses with real-time retrieval ✅ A complete beginner-friendly setup — step by step Perfect for beginners, marketers, and automation builders looking to leverage AI + no-code tools in real workflows. Business Inquiries: promotions@fuelyourdigital.com If this video helped you out please consider leaving a like & commenting down below! Thank you so much :) #ai #aiagents #n8n #aiautomation