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Qdrant search relevance strategies v1.0.0

Use this resource to choose a strategy to improve the relevance of a Qdrant search

New

  • 424 downloads
  • 144 likes
  • 107 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install qdrant-search-relevance-strategies

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent starts from the observed symptom, such as results that are too similar or missing keyword matches, and points to a suitable strategy. It also lists practices to avoid. You get a reasoned choice.

Mostly picked by

Updated November 2, 2026

Card for the “Qdrant search relevance strategies” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: diagnostic tree by search symptom
  • SKILL.md: hybrid search, reranking and diversity strategies, with a what-not-to-do section

Good fit for

  • Relevant documents exist in your collection but do not rank first
  • Your results are too similar to each other

Not for

    Tags

    • qdrant
    • search
    • vectors
    • reranking

    About

    You say

    “My Qdrant results are too similar to each other: which strategy should I use?”

    Card for the “Qdrant search relevance strategies” skill

    Skill published by github under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to choose a strategy to improve the relevance of a Qdrant search
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.8 KB

    Origin and licence

    Listed unmodified

    Author
    github
    Source
    github.com/github/awesome-copilot/tree/0fe6545b950671641b2b14b44eb56678fea6c6b4/skills/qdrant-search-quality/search-strategies
    Licence
    MIT

    Notice

    « qdrant-search-strategies » (github, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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