---
title: "A practical guide to search relevance metrics and evaluation"
url: https://daily.dev/posts/a-practical-guide-to-search-relevance-metrics-and-evaluation-yjcuepxxq
source_url: https://www.meilisearch.com/blog/search-relevance-metrics
type: article
source: "Meilisearch"
published: 2026-07-09T06:37:53.860Z
updated: 2026-07-09T06:38:15.828Z
tags: ["meilisearch"]
reading_time: 11
upvotes: 0
comments: 0
language: en
---

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# A practical guide to search relevance metrics and evaluation

**[Meilisearch](https://daily.dev/sources/meilisearch)** · 11 min read · 0 upvotes · 0 comments

## Summary

A comprehensive guide to search relevance metrics covering precision, recall, F1 score, MAP, MRR, nDCG, ERR, AUC, and CTR. Explains formulas and when to use each metric, how to measure relevance with and without manual labeling, how to evaluate search quality in production using logging, A/B testing, and KPIs, and common evaluation mistakes to avoid. Concludes with guidance on choosing the right metrics for different use cases and a brief mention of Meilisearch's ranking capabilities.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.meilisearch.com/blog/search-relevance-metrics>

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---

Tags: [#meilisearch](https://daily.dev/tags/meilisearch)

[View this post on daily.dev](https://daily.dev/posts/a-practical-guide-to-search-relevance-metrics-and-evaluation-yjcuepxxq)