qdrant-vector-search

Name: qdrant-vector-search
Rating: 1.3 (1 reviews)
Author: zechenzhangAGI

25.1

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install zechenzhangAGI/AI-research-SKILLs/qdrant-vector-search

OpenCode (CLI) Fast

skilz install zechenzhangAGI/AI-research-SKILLs/qdrant-vector-search --agent opencode

OpenAI Codex (CLI) Native

skilz install zechenzhangAGI/AI-research-SKILLs/qdrant-vector-search --agent codex

Gemini CLI (Project) Project

skilz install zechenzhangAGI/AI-research-SKILLs/qdrant-vector-search --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/zechenzhangAGI/AI-research-SKILLs

2. Copy the agent skill directory:

cp -r AI-research-SKILLs/15-rag/qdrant ~/.claude/skills/

View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: zechenzhangAGI (GitHub)
Repository: AI-research-SKILLs
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: search data
Market Score: 25.1

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