Do you want to learn how to create your own AI agent using RAG and N8N? In this practical tutorial, I explain step by step how to implement an AI agent with Response Retrieval (RAG) in N8N, one of the most powerful and versatile automation tools. ???????? ???? Join our AI and automation community on Telegram (now Skool): ???? Link to Telegram: (for technical reasons we changed to Skool community): https://www.skool.com/ailink-2010/about In this video you will discover: ✅ What is a RAG and why it is key in the development of AI agents. ✅ How to configure N8N to integrate your AI agent. ✅ Practical tips to optimize your agent and get the most out of it. 00:00 Introduction and context 00:42 Agent demonstration using Intel code of conduct 03:10 What is a RAG (Retrieve Augmented Generation) 04:00 How documents are loaded and processed 05:55 Advantages of RAG and vectorization 07:00 Technical explanation about embeddings and chunks 09:45 Preparing the necessary APIs for the project 10:15 Setting up the bot in Telegram 12:45 Setting up the Google Drive API 14:10 Setting up Supabase as a vector database 16:32 Running the workflow in N8N 17:15 Flow overview and agent customization 18:10 Conclusion and additional resources ???? You don’t need to be an expert to get started! This tutorial is designed for both beginners and curious developers. Be part of a community passionate about AI and share your questions, ideas, and projects with other enthusiasts. ???? Do you have any questions or comments? Leave them below, I'd love to help you build your own AI agent! ???? ???? Don't forget to subscribe for more AI and automation tutorials. #ArtificialIntelligence #AIAssistant #Automation #NoCode #n8n #n8nTutorial #AutomatedFlows #OpenAI #AIAutomation #AIagent