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delete retrieval-quality-fundamentals and remove from nav indexes

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The four-layer framework, metric-selection table, and business-impact
guidance now live inside the three execution tutorials. The fundamentals
page is no longer needed as a shared reference and readers don't have to
leave the tutorial flow to get context.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Dylan Couzon
2026-04-23 23:22:40 -04:00
co-authored by Claude Opus 4.7
parent cbda4a6c9c
commit e02bfb0bf1
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qdrant-landing/content/documentation/headless/content/tutorials/search-engineering.md
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| [Relevance Feedback](/documentation/tutorials-search-engineering/using-relevance-feedback/) | Relevance Feedback Retrieval in Qdrant | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
| [Collaborative Filtering](/documentation/tutorials-search-engineering/collaborative-filtering/) | Collaborative filtering using sparse embeddings. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
| [Multivector Document Retrieval](/documentation/tutorials-search-engineering/pdf-retrieval-at-scale/) | PDF RAG using ColPali and embedding pooling. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
| [Retrieval Quality Fundamentals](/documentation/tutorials-search-engineering/retrieval-quality-fundamentals/) | Understand evaluation levels and choose the right metric. | <span class="pill">Python</span> | 20m | <span class="text-green">Beginner</span> |
| [Measuring ANN Precision](/documentation/tutorials-search-engineering/retrieval-quality/) | Measure ANN precision with the Web UI and tune HNSW parameters. | <span class="pill">Web UI</span> | 15m | <span class="text-green">Beginner</span> |
| [Building a Golden Query Set](/documentation/tutorials-search-engineering/retrieval-quality-golden-set/) | Generate ground truth data at scale and avoid data leakage. | <span class="pill">Python</span> | 40m | <span class="text-yellow">Intermediate</span> |
| [Evaluating Pipeline Output Quality](/documentation/tutorials-search-engineering/retrieval-quality-pipeline-output/) | Score a RAG pipeline with Ragas and isolate retrieval vs generation failures. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |