Qdrant Throughput Scaling is a DevOps skill for Claude Code, published by qdrant in skills.
Qdrant Throughput Scaling guides how to increase query throughput in Qdrant. Use it when QPS is too low, queries need batching, or read replicas and other tuning options are needed.
Qdrant Throughput Scaling is cataloged under DevOps on DirSkills. Qdrant Throughput Scaling comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.
Documentation
Throughput scaling means handling more parallel queries per second. This is different from latency - throughput and latency are opposite tuning directions and cannot be optimized simultaneously on the same node.
High throughput favors fewer, larger segments so each query touches less overhead.
This is the opening of the README. Read the full README on GitHub.
Qdrant Throughput 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 Throughput Scaling does, and is maintained by qdrant in that same repository. The rest of the collection is listed on the qdrant/skills page.
Qdrant Throughput Scaling ranks #788 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 Throughput Scaling against them. Open each page to compare what they document and how they install.
Qdrant Throughput Scaling is one of 25 skills cataloged on DirSkills from qdrant/skills.
Qdrant Throughput Scaling is one of 868 DevOps skills cataloged on DirSkills, ranked #788 by stars among them.