Systematically Improving RAG Applications Systematically Improving RAG Applications is a specialized course designed for developers, engineers, and AI practitioners aiming to elevate their Retrieval-Augmented Generation (RAG) systems. The course provides a structured framework to evaluate, debug, and enhance RAG-based applications, ensuring higher accuracy, reliability, and user satisfaction. Key Learning Objectives Understand the RAG Framework: Grasp fundamental concepts of Retrieval-Augmented Generation. Learn how RAG combines retrieval mechanisms with generative AI models. Implement Systematic Evaluation: Develop the ability to assess RAG applications with quantitative and qualitative metrics. Identify strengths, weaknesses, and areas for improvement in existing systems. Debug and Optimize Applications: Master…