Build a No-Code RAG Chatbot with n8n and Vector Databases

Are you looking to leverage AI for your business but do not know how to code? Creating a smart chatbot that actually understands your company's unique documents is now possible for anyone. This course teaches you how to design and deploy a Retrieval-Augmented Generation (RAG) system entirely from scratch using visual, no-code tools. You will learn how to connect your business data to an AI chatbot, transforming scattered documents into an interactive, highly accurate knowledge base. What you'll learn: Understand the fundamental concepts of Retrieval-Augmented Generation (RAG) and how AI processes private data; Build automated workflows using n8n to connect various data sources without writing code; Configure vector databases to efficiently store and retrieve your company documents; Apply modern data chunking and embedding strategies to improve chatbot accuracy; Practice basic prompt engineering to ensure your AI assistant provides safe, relevant, and helpful answers; Design a fully functional AI chatbot tailored to your specific business needs. The course begins with clear definitions of key AI terminology and foundational RAG concepts before moving into practical workflow construction. You will read step-by-step written guides on setting up n8n, preparing your text data, and linking everything into a seamless automated pipeline. Designed specifically for beginners, small business owners, and non-technical professionals, no prior programming or AI experience is required. Start reading today to unlock the power of AI and build a smart knowledge base for your business.