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golden set: anchor intro at layer 2, link layer 1 to Web UI
- Open the tutorial by anchoring it at layer 2 of the evaluation ladder and linking to the levels table in retrieval-quality- fundamentals (abdonpijpelink, line 14). - Point layer-1 readers (ANN recall vs exact kNN) at the Search Quality tab in the Qdrant Web UI instead of the retrieval-quality tutorial (mrscoopers, line 13). - Trim the duplicate layer-1 pointer at the end of "Using the Golden Set" (mrscoopers, line 113). - Open cross-tutorial links in a new tab to match the repo convention. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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| Time: 40 min | Level: Intermediate | | |
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This tutorial covers **layer 2** of the <a href="/documentation/tutorials-search-engineering/retrieval-quality-fundamentals/#connecting-the-levels-in-practice" target="_blank">evaluation ladder</a>: **retrieval relevance**. Measuring how well retrieved results match real user intent requires a labeled dataset of queries paired with their expected relevant documents (commonly called a *golden query set* or *ground truth*). For layer 1 (ANN recall against exact kNN), which needs no relevance labels, see <a href="/documentation/tutorials-search-engineering/retrieval-quality/" target="_blank">Retrieval Quality Evaluation</a>.
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This tutorial covers **layer 2** of the <a href="/documentation/tutorials-search-engineering/retrieval-quality-fundamentals/#connecting-the-levels-in-practice" target="_blank">evaluation ladder</a>: **retrieval relevance**. Measuring how well retrieved results match real user intent requires a labeled dataset of queries paired with their expected relevant documents (commonly called a *golden query set* or *ground truth*). For layer 1 (ANN recall against exact kNN), which needs no relevance labels, use the **Search Quality** tab in the <a href="/documentation/web-ui/" target="_blank">Qdrant Web UI</a>.
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## Generating Queries
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