In this detailed tutorial, Cole Medin demonstrates how to implement a robust Retrieval-Augmented Generation (RAG) AI agent using n8n and Supabase. The video begins by discussing the limitations of typical RAG tutorials, which often fail to provide production-ready solutions. Cole emphasizes the need for a more reliable setup, showcasing how n8n, a powerful workflow automation tool, can be integrated with Supabase, a versatile database platform that supports vector storage for RAG applications. He walks viewers through the entire process, starting with setting up a Supabase account and creating a knowledge base. Cole illustrates how to create a document in Google Drive and link it to the RAG agent, demonstrating the agent’s ability to answer questions based on the document’s content. He highlights the importance of managing data effectively to avoid duplicates in the vector database, explaining how to delete old records before inserting updated information. Throughout the video, Cole provides insights into the workflow setup, including connecting to Google Drive, managing chat memory, and using the OpenAI API for generating responses. The tutorial concludes with a demonstration of the fully functioning RAG AI agent in action, emphasizing the potential applications of this technology in real-world scenarios. Cole encourages viewers to explore this setup for their own projects and offers to provide further assistance and content on n8n and Supabase integrations.