TDS
by Maria Mouschoutzi • Published November 12, 2025 at 02:00 PM
Research

How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k

🔬 Research 🤖 AI-Enhanced

📖 Article Preview

🤖 AI Summary

The article discusses the final installment in a series on assessing retrieval quality in Retrieval-Augmented Generation (RAG) pipelines, focusing on graded evaluation metrics such as Discounted Cumulative Gain (DCG@k) and Normalized Discounted Cumulative Gain (NDCG@k). These metrics enable more nuanced measurement of retrieval effectiveness by accounting for the relevance ranking of retrieved documents, thereby improving the evaluation of RAG systems' performance in delivering pertinent information.

Read the Complete Article

Get the full story with in-depth analysis, expert insights, and comprehensive coverage from the original source.

Read Full Article
🔒 Secure Link
🌍 Original Source
📊 Verified Content
Fast Loading

Stay Informed

Get the latest AI insights and breakthroughs delivered to your inbox weekly.

Follow Our Updates

Join the conversation and stay connected with our AI community.

We respect your privacy. Unsubscribe at any time. Privacy Policy