qdrant-performance-optimization
SkillNavigation 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-optimizationWhat 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)
GlobGrepReadDocumentation
README · ~1 min readQdrant 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.
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
claude-mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
88.9K stars
mem0
Universal memory layer for AI Agents
62K stars
Commands
All commands →help
Get help with FiftyOne skills, understand available workflows, and troubleshoot setup issues
32.8K stars
troubleshoot-connector
Troubleshoot ZPA App Connector issues -- enrollment, connectivity, upgrades, and resource utilization.
investigate-sandbox
Investigate ZIA Sandbox file analysis -- check sandbox reports, quota, SSL prerequisite, and diagnose file block/quarantine issues.
MCP Servers
All mcp servers →codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
36.7K stars
monitor
BetterDB MCP server - Valkey observability for Claude Code and other MCP clients
1.2K stars
infranodus-mcp-server-infranodus
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
95 stars
Subagents
All subagents →ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
235.3K stars
code-explorer
Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development
32.8K stars
maestro-flow
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
486 stars
Plugins
All plugins →chrome-devtools-mcp
Control and inspect a live Chrome browser from your coding agent. Record performance traces, analyze network requests, check console messages with source-mapped stack traces, and automate browser actions with Puppeteer.
47.9K stars
claude-md-management
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
32.9K stars
beads
Beads - A memory upgrade for your coding agent
25.7K stars