RAG Evaluation Metrics Tutorial

Description

Description: In this video, you will learn how to evaluate the performance of your Graph RAG system using RAGAS, the leading open-source RAG evaluation framework. What you will learn: What RAGAS is and why evaluation matters for production RAG systems Key RAGAS metrics: faithfulness, answer relevancy, context precision, and context recall How to run RAGAS evaluation on your Graph RAG pipeline in Python How to interpret RAGAS scores and identify areas for improvement How evaluation results compare between classic RAG and Graph RAG By the end of this video, you will know how to measure, validate, and improve your Graph RAG system like a professional AI engineer.