{"id":"18cf2c65-ade2-4dea-be50-a8289154c3ca","shortId":"bxkcR7","kind":"skill","title":"qdrant-search-quality","tagline":"Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use h","description":"# Qdrant Search Quality\n\nFirst determine whether the problem is the embedding model, Qdrant configuration, or the query strategy. Most quality issues come from the model or data, not from Qdrant itself. If search quality is low, inspect how chunks are being passed to Qdrant before tuning any parameters. Splitting mid-sentence can drop quality 30-40%.\n\n- Start by testing with exact search to isolate the problem [Search API](https://search.qdrant.tech/md/documentation/search/search/?s=search-api)\n\n\n## Diagnosis and Tuning\n\nIsolate the source of quality issues, tune HNSW parameters, and choose the right embedding model. [Diagnosis and Tuning](diagnosis/SKILL.md)\n\n\n## Search Strategies\n\nHybrid search, reranking, relevance feedback, and exploration APIs for improving result quality. 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