DevOpsPython

Qdrant Search Speed Optimization

by qdrant

Qdrant Search Speed Optimization is a DevOps 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 Speed Optimization
Copy Qdrant Search Speed Optimization 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-performance-optimization/search-speed-optimization ~/.claude/skills/search-speed-optimization

Requires Node.js. Downloads this skill only — not the rest of the repository — 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-performance-optimization/search-speed-optimization/SKILL.md in qdrant/skills
Installs to
~/.claude/skills/search-speed-optimization
Collection
One of 25 skills cataloged from this repository
Category
DevOps868 skills

What Qdrant Search Speed Optimization does

Qdrant Search Speed Optimization diagnoses slow search, high latency, and low QPS in Qdrant. Use it to isolate memory pressure, filter bottlenecks, optimizer lag, or config issues and apply the right fixes.

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

Documentation

README

Diagnose a problem

There the multiple possible reasons for search performance degradation. The most common ones are:

  • Memory pressure: if the working set exceeds available RAM
  • Complex requests (e.g. high hnsw_ef, complex filters without payload index)
  • Competing background processes (e.g. optimizer still running after bulk upload)
  • Problem with the cluster (e.g. network issues, hardware degradation)

Single Query Too Slow (Latency)

Use when: individual queries take too long regardless of load.

Diagnostic steps:

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

Frequently asked about Qdrant Search Speed Optimization

  • What else does qdrant publish alongside Qdrant Search Speed Optimization?

    Qdrant Search Speed Optimization 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 Speed Optimization 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 Speed Optimization compare to other DevOps skills?

    Qdrant Search Speed Optimization ranks #786 by stars among the 868 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. 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 Speed Optimization against them. Open each page to compare what they document and how they install.

More from qdrant/skills

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

See all 25 skills
🧭
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Qdrant Advisor

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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🧩
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Qdrant Clients SDK

Qdrant Clients SDK provides official client libraries for Python, JavaScript, Rust, Go, .NET, and Java. Use it to connect applications to Qdrant through REST or gRPC and to fetch code snippets for common tasks.
AI Engineering
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🚀
7h ago

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
23028
🧩
7h ago

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.
AI Engineering
23028
⚙️
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