Mastering RAG Evaluation: Metrics & Pipeline
Confused about how to evaluate a Retrieval-Augmented Generation (RAG) system? 🤔
In this 15-minute tutorial, we break down the RAG evaluation pipeline step by step — from retrieval quality to generation metrics. Learn about faithfulness, answer relevance, contextual precision/recall, diversity, and latency with intuitive diagrams and a techno-themed presentation.
Perfect for AI engineers, researchers, and ML enthusiasts who want to design or benchmark their own RAG systems 🚀
📌 What you’ll learn:
Why RAG evaluation matters
Key stages of the evaluation pipeline
Essential metrics (retrieval, generation, system-level)
Practical insights with diagrams & visuals
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