{"id":8154,"date":"2025-11-06T07:02:21","date_gmt":"2025-11-06T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/06\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-2-mean-reciprocal-rank-mrr-and-average-precision-ap\/"},"modified":"2025-11-06T07:02:21","modified_gmt":"2025-11-06T07:02:21","slug":"how-to-evaluate-retrieval-quality-in-rag-pipelines-part-2-mean-reciprocal-rank-mrr-and-average-precision-ap","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/06\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-2-mean-reciprocal-rank-mrr-and-average-precision-ap\/","title":{"rendered":"How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)"},"content":{"rendered":"<p>    How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)<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>Evaluating the retrieval quality of your RAG pipeline with binary, order-aware measures<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/how-to-evaluate-retrieval-quality-in-rag-pipelines-part-2-mean-reciprocal-rank-mrr-and-average-precision-ap\/\">How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)<\/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-2-mean-reciprocal-rank-mrr-and-average-precision-ap\/\">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 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) Evaluating the retrieval quality of your RAG pipeline with binary, order-aware measures The post How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP) appeared first on Towards Data [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,2630,240,3800,71,597,2260],"tags":[618,362,652],"class_list":["post-8154","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-articial-intelligence","category-editors-pick","category-information-retrieval","category-large-language-models","category-llm-evaluation","category-rag","tag-quality","tag-rag","tag-retrieval"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8154"}],"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=8154"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8154\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}