Qdrant Relevance Feedback
by qdrant6a03d0ce8f55No licenseListed Oct 8, 2026Updated Oct 8, 2026
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more relevant results from vector search', 'cheaper/better alternative to reranking', 'using a more heavy/big embedding model for dense search but can't afford it', 'finding more relevant documents beyond the initial search pool', or 'feedback loops'. Also trigger when the user has a search quality problem due to a dense retriever being weak and is considering reranking as a solution — this API may be a better fit
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| SKILL.md | 10.5 KB | text/markdown |
Source and attribution
Source:qdrant/skillsinskills/qdrant-search-quality/search-strategies/relevance-feedbackat commit6a03d0c
License: No license
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