From Zero to RAG Agent - Full Beginner's Course

Learn to build your first RAG (Retrieval-Augmented Generation) agent from scratch in this comprehensive 23-minute tutorial designed specifically for complete beginners with no coding experience required. Discover the fundamentals of RAG technology and understand how vector databases function as the backbone of intelligent AI systems. Master the complete RAG pipeline process and explore how RAG agents can transform document-based question answering. Follow along with a practical hands-on example using n8n automation platform and Supabase vector database to create a working system that can intelligently answer questions based on your own documents. Set up essential credentials for both Supabase and OpenAI API integration, then build and test your RAG agent while learning to read agent logs for troubleshooting and optimization. Implement memory functionality to enhance your agent's conversational capabilities and create a more sophisticated AI system. Gain practical experience with data sources and agent triggers while building a foundation for more advanced AI automation projects.