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Qdrant Search Quality

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 hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.

thedixitjain 365c0ae 1.4 KB Updated 2 repo stars
Marketing & Growth

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Qdrant Search Quality

First 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%.

  • Start by testing with exact search to isolate the problem Search API

Diagnosis and Tuning

Isolate the source of quality issues, tune HNSW parameters, and choose the right embedding model. Diagnosis and Tuning

Search Strategies

Hybrid search, reranking, relevance feedback, and exploration APIs for improving result quality. Search Strategies

Source: github/awesome-copilot → skills/qdrant-search-quality/SKILL.md

thedixitjain/the-mega-skill-library/tree/main/library/rag-memory-knowledge/qdrant-search-quality commit 365c0aea98

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Frequently asked questions

npx skillmds add thedixitjain/qdrant-search-quality