Learn to rapidly prototype Retrieval-Augmented Generation (RAG) workflows in this 30-minute technical talk by Jim Le from n8n. Discover what n8n is, where it runs, and how it functions as a workflow automation platform. Build a simple RAG agent using n8n with Qdrant as the vector store through the dedicated Qdrant node. Explore real-world examples of the Qdrant community node in action and understand how to create fast, flexible AI-powered workflows without requiring heavy infrastructure setup. Perfect for developers seeking to implement RAG systems efficiently using visual workflow tools and vector databases.