Build a No-Code RAG Support Chatbot

Customer support can easily become overwhelming for growing SaaS and service companies. What if you could build an AI assistant that instantly answers routine questions using your own company data? This course teaches you how to leverage Retrieval-Augmented Generation (RAG) to create highly accurate customer support chatbots without writing a single line of code. You will learn how to connect modern AI models to your knowledge base, ensuring your chatbot provides reliable, context-aware answers around the clock while avoiding common pitfalls like AI hallucinations. What you will learn: * Understand the core concepts of RAG and how AI retrieves information. * Design a no-code workflow to connect your company documents to an AI assistant. * Apply basic prompt engineering techniques to ensure accurate and helpful responses. * Configure vector database concepts using visual, no-code interfaces. * Test and refine your chatbot to minimize hallucinations and improve answer quality. * Deploy an automated support system tailored to SaaS and service business needs. The course begins by demystifying key AI terminology and the foundational concepts behind RAG. From there, you will move into practical, written exercises that guide you through structuring your knowledge base and configuring a no-code chatbot step-by-step. Designed specifically for beginners, business owners, and support managers, this course requires no previous programming or technical experience. Start reading today to transform your company's customer support with AI.