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🚀 RAG Evaluation Metrics in Under 5 Minutes Building a RAG system is one thing — evaluating it properly is what actually makes it useful. In this video, we break down how to measure and improve RAG performance in a simple and structured way. 🔍 What you’ll learn: Retrieval Evaluation: Hit Rate → Did we retrieve the right chunk? MRR (Mean Reciprocal Rank) → How well is it ranked? Generation Evaluation: Faithfulness → Is the answer grounded in context? Correctness → Is the answer actually right? ⚙️ Also covered: Why good retrieval ≠ good answers Where LLMs fail even with correct context How evaluation fits into the RAG pipeline