RAG Evaluation Metrics Explained | Precision@K, MRR, NDCG & Hit Rate Made Simple #RAG #AI #LLM

Description

No matter how advanced your RAG pipeline or AI agent system is, one key question always matters: Did the system retrieve the right information? In this video, we break down the most important evaluation metrics used to measure retrieval quality in AI systems: Precision@K Measures how many retrieved documents are actually relevant Example: 3 out of 5 relevant → 60% precision Learn how these metrics help improve RAG systems, search engines, and AI agents. Perfect for: 1. AI Engineers 2. Backend Developers 3. System Design Interviews 4. Anyone working with LLMs & Retrieval Systems #RAG #AI #LLM #AIAgents #RetrievalAugmentedGeneration #SystemDesign #MachineLearning #PrecisionAtK #MRR #NDCG #SearchRanking #InformationRetrieval #DataScience #TechExplained #InterviewPrep