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AI EngineeringPython

Qdrant Search Quality

by qdrant

Qdrant Search Quality is an AI Engineering skill for Claude Code, published by qdrant in skills.

230 stars28 forkson qdrant/skillsAdded 2026/09/03Repository updated 2026/09/02
agent-skillsai-agentsclaude-codecodexcursorembeddingshybrid-searchmonitoringmultitenancyperformanceqdrantquantizationscalingsearch-qualityvector-databasevector-search
Install in seconds
Install Qdrant Search Quality
Copy Qdrant Search Quality into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-search-quality ~/.claude/skills/qdrant-search-quality

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/qdrant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/qdrant-search-quality/SKILL.md in qdrant/skills
Installs to
~/.claude/skills/qdrant-search-quality
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering β€” 2793 skills

What Qdrant Search Quality does

Qdrant Search Quality diagnoses bad search relevance, low recall, and low precision in Qdrant. Use it to identify whether the model, the data, or retrieval settings are causing poor matches and to measure retrieval quality.

Qdrant Search Quality is cataloged under AI Engineering on DirSkills. Qdrant Search Quality comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Qdrant Search Quality

  • What else does qdrant publish alongside Qdrant Search Quality?

    Qdrant Search Quality is one of 25 skills that DirSkills catalogs from qdrant/skills, the repository it ships in. Its siblings there include Qdrant Advisor, Qdrant Clients SDK and Qdrant Deployment Options. Each one is a separate skill with its own page in this directory, installs the same way Qdrant Search Quality does, and is maintained by qdrant in that same repository. The rest of the collection is listed on the qdrant/skills page.

  • How does Qdrant Search Quality compare to other AI Engineering skills?

    Qdrant Search Quality ranks #2482 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Qdrant Search Quality against them. Open each page to compare what they document and how they install.

More from qdrant/skills

Qdrant Search Quality is one of 25 skills cataloged on DirSkills from qdrant/skills.

See all 25 skills β†’
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Qdrant Advisor loads the latest official Qdrant skills to diagnose deployment, search, scaling, memory, and client SDK issues. Use it when a Qdrant cluster, collection, or vector-search question needs current guidance.
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Qdrant Clients SDK

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Qdrant Deployment Options

Qdrant Deployment Options helps you choose between local mode, Docker, Qdrant Cloud, and Qdrant EDGE. Use it when deciding how to deploy Qdrant for prototyping, production, or lowest-latency search.
DevOps
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Qdrant Edge

Qdrant Edge guides building with Qdrant’s embedded in-process shard. Use it for local sync patterns, BM25 and hybrid search on device, snapshots, and operating Edge correctly in Python or Rust.
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βš™οΈ
7h ago

Qdrant Indexing Performance Optimization

Qdrant Indexing Performance Optimization diagnoses slow uploads, long HNSW builds, and stuck optimizers in Qdrant. Use it to tune batching, shards, indexing thresholds, and payload indexes when ingestion or search quality is degraded.
DevOps
23028
⚑
7h ago

Qdrant Latency Optimization

Qdrant Latency Optimization guides how to reduce single-query and tail latency in Qdrant. Use it when search is slow, p99 is high, or you need faster vector search on a Qdrant node.
DevOps
23028