{"id":8326,"date":"2025-11-13T07:02:21","date_gmt":"2025-11-13T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/13\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-3-dcgk-and-ndcgk\/"},"modified":"2025-11-13T07:02:21","modified_gmt":"2025-11-13T07:02:21","slug":"how-to-evaluate-retrieval-quality-in-rag-pipelines-part-3-dcgk-and-ndcgk","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/13\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-3-dcgk-and-ndcgk\/","title":{"rendered":"How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k"},"content":{"rendered":"<p>    How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>The third and final part for evaluating the retrieval quality of your RAG pipeline with graded measures<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-3-dcgk-and-ndcgk\/\">How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Maria Mouschoutzi<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-3-dcgk-and-ndcgk\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k The third and final part for evaluating the retrieval quality of your RAG pipeline with graded measures The post How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k appeared first on Towards Data Science. Maria Mouschoutzi Go to [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,240,71,597,2260,4201],"tags":[618,362,652],"class_list":["post-8326","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-editors-pick","category-large-language-models","category-llm-evaluation","category-rag","category-rag-pipeline","tag-quality","tag-rag","tag-retrieval"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8326"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8326"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8326\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8326"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8326"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8326"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}