agentskillexchange Improve Qdrant vector search relevance and retrieval quality
Use Qdrant's official qdrant-search-quality skill when an agent needs to diagnose weak recall, irrelevant matches, or embedding and chunking mistakes in a live retrieval pipeline. It is a bounded search-quality tuning workflow, not a generic database listing.
Installation
Use the upstream install or setup path that matches your environment:
- npx skills add qdrant/skills
Requirements and caveats from upstream:
- "I have 50M vectors on a single node and search is slow, should I add more nodes?"
- | qdrant-clients-sdk | SDK setup, code examples, snippet search across Python, TypeScript, Rust, Go, .NET, Java |
Basic usage or getting-started notes:
npx skills
bash
Claude Code
Source: https://github.com/qdrant/skills/tree/main/skills/qdrant-search-quality
Extracted from upstream docs: https://raw.githubusercontent.com/qdrant/skills/HEAD/README.md