Qdrant Query Scaling

Qdrant Query Scaling 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 Query Scaling

Copy Qdrant Query Scaling 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-scaling/scaling-query-volume ~/.claude/skills/scaling-query-volume

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-scaling/scaling-query-volume/SKILL.md in qdrant/skills
Installs to: ~/.claude/skills/scaling-query-volume
Collection: One of 25 skills cataloged from this repository
Category: DevOps — 868 skills

What Qdrant Query Scaling does

Qdrant Query Scaling guides how to reduce cross-shard work for large limits and offsets in auto-sharded searches. Use it when queries return too many results, paginate large result sets, or fetch many vectors.

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

Documentation

README

Excerpt

Scaling for Query Volume

Problem: When a query has a large limit (e.g. 1000) and there are multiple shards (e.g. 10), naively each shard must return the full 1000 results — totaling 10,000 scored points transferred and merged. This is wasteful since data is randomly distributed across auto-shards.

Core idea

Instead of asking every shard for the full limit, ask each shard for a smaller limit computed via Poisson distribution statistics, then merge. This is safe because auto-sharding guarantees random, independent data distribution.

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

Frequently asked about Qdrant Query Scaling

What else does qdrant publish alongside Qdrant Query Scaling?
Qdrant Query Scaling 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 Query Scaling 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 Query Scaling compare to other DevOps skills?
Qdrant Query Scaling ranks #784 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 Query Scaling against them. Open each page to compare what they document and how they install.