RAG Evaluation Techniques Explained | How to Evaluate RAG Systems | Simplilearn

By Simplilearn

Community Score: 50% | 192 views | 1mo

0 community ratings: null thumbs up, null thumbs down

🔥Microsoft Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=OUHWfsrLWzs&utm_medium=DescriptionFF&utm_source=Youtube 🔥AI Accelerator Program - From Prompts to Agentic Workflows - https://www.simplilearn.com/ai-accelerator-program?utm_campaign=OUHWfsrLWzs&utm_medium=DescriptionFF&utm_source=Youtube 🔥Microsoft Applied Generative AI and Agentic AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=OUHWfsrLWzs&utm_medium=DescriptionFF&utm_source=Youtube 🔥Virginia Tech Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=OUHWfsrLWzs&utm_medium=DescriptionFF&utm_source=Youtube 🔥Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=OUHWfsrLWzs&utm_medium=DescriptionFF&utm_source=Youtube In this video, we break down how to evaluate Retrie

Tags: simplilearn, RAG, RAGEvaluation, RAGAS, Retrieval, Generation, Faithfulness, Groundedness, AnswerRelevancy, ContextPrecision, ContextRecall, RecallAtK, PrecisionAtK, HitRate, MRR, NDCG, AnswerCorrectness, Hallucination, NoiseSensitivity, LLMAsJudge