ClaudeSuperPower

qdrant-performance-optimization

Skill

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-mo

Install

git clone https://github.com/qdrant/skills.git ~/.claude/skills/qdrant-performance-optimization

What is qdrant-performance-optimization?

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Read files only

Read-only tools

~79 tokens of context used while enabled, before you invoke anything

All declared tools (3)
GlobGrepRead

Documentation

README · ~1 min read

Qdrant Performance Optimization

There are different aspects of Qdrant performance, this document serves as a navigation hub for different aspects of performance optimization in Qdrant.

Search Speed Optimization

There are two different criteria for search speed: latency and throughput. Latency is the time it takes to get a response for a single query, while throughput is the number of queries that can be processed in a given time frame. Depending on your use case, you may want to optimize for one or both of these metrics.

More on search speed optimization can be found in the Search Speed Optimization skill.

Indexing Performance Optimization

Qdrant needs to build a vector index to perform efficient similarity search. The time it takes to build the index can vary depending on the size of your dataset, hardware, and configuration.

More on indexing performance optimization can be found in the Indexing Performance Optimization skill.

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