November 20, 2025
How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k
IntelME Verdict
Critical Metric
TL;DR
New article introduces DCG@k and NDCG@k for evaluating retrieval quality in RAG pipelines, essential for optimizing systems by assessing relevance presence and ranking.
Analysis
DCG@k and NDCG@k are crucial for AI professionals as they provide a standardized and fair way to evaluate retrieval quality in RAG pipelines. Understanding and optimizing these metrics can significantly enhance the performance of AI systems by accurately assessing the relevance and ranking of retrieved information, ultimately leading to more effective and efficient RAG systems.
Share:
