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qdrant-search-quality

Diagnoses and improves Qdrant search relevance.

Skill by qdrantOfficial

IndexedApache-2.0★ 263
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/qdrant-qdrant-search-quality

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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?', 'how to combine keyword and vector search / fusion / RRF / prefetch?', 'should I use reranking?', 'relevance feedback?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', 'how to score recall@k?', 'is my improvement real / statistically significant?', or 'should I fine-tune my embedding model?'. Also use when search quality degrades after quantization, model change, or data growth.

Use cases: data, ml, marketing

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/qdrant-search-quality

What's inside

Skill name
qdrant-search-quality
Description
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?', 'how to combine keyword and vector search / fusion / RRF / prefetch?', 'should I use reranking?', 'relevance feedback?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', 'how to score recall@k?', 'is my improvement real / statistically significant?', or 'should I fine-tune my embedding model?'. Also use when search quality degrades after quantization, model change, or data growth.
License
Apache-2.0
Instructions
23 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • allowed-tools: must be a space-separated string

Files (7)

  • SKILL.md
  • SKILL.md · diagnosis/
  • SKILL.md · search-strategies/
  • SKILL.md · search-strategies/hybrid-search/
  • SKILL.md · search-strategies/hybrid-search/combining-searches/
  • SKILL.md · search-strategies/hybrid-search/search-types/
  • SKILL.md · search-strategies/relevance-feedback/

SKILL.md (first lines)

# Qdrant Search Quality

Route first, then answer. Match the user's symptom in the table, `Read` that file, and answer from it.
Do not answer from this page alone: it contains routing only, not the guidance. If two rows match, read both.

| The user says | Read |
|---|---|
| Search results are bad or irrelevant, wrong results, missing expected matches | `diagnosis/SKILL.md` |
| Low recall, expected results are missing | `diagnosis/SKILL.md` |
| Low precision, too many wrong matches | `diagnosis/SKILL.md` |
| Which embedding model to use, quality dropped after quantization, model change, or data growth | `diagnosis/SKILL.md` |
| Not sure if the model, the data, or Qdrant is at fault | `diagnosis/SKILL.md` |
| Want to measure recall, build a golden set, ground truth dataset, recall@k | `diagnosis/SKILL.md` |
| Is my improvement real, statistically significant, fine-tune the embedding model | `diagnosis/SKILL.md` |
| Need to combine keyword and semantic search, hybrid search, sparse + dense, fusion / RRF, prefetch | `search-strategies/hybrid-search/SKILL.md` |
| Should I rerank, results too similar, need diversity, MMR, recommendation/discovery API | `search-strategies/SKILL.md` |
| Improving results with relevance feedback or user clicks, cheaper alternative to reranking | `search-strategies/relevance-feedback/SKILL.md` |

Most quality issues come from the embedding model or the data, not from Qdrant's configuration — splitting chunks mid-sentence alone can drop quality 30-40%.
Rule that out with exact search before tuning any Qdrant parameter:
[Search API](https://skills.qdrant.tech/md/documentation/search/search/?s=search-api)

From qdrant/skills, Apache-2.0.

More from qdrant/skills

Signals

Stars
263
Forks
31
Open issues
6
Last commit (this folder)
Oct 22, 2026 (6 days ago)
Last release
Mar 30, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
Repository
github.com/qdrant/skills
Website
skills.qdrant.tech
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from qdrant

Cite this page

qdrant-search-quality skill. Agent Mart. https://agentmart.dev/skills/qdrant-qdrant-search-quality (last updated 2026-10-24)