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grepai-storage-qdrant

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Enable blazing-fast vector search with Qdrant.

Software Engineering#Docker#configuration#cloud#Qdrant#vector-search#storage-backend#grepai
Authoryoanbernabeu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill configures Qdrant as the storage backend for GrepAI, enabling high-performance vector search for large codebases.

Core Features & Use Cases

  • Fast vector search: leverage Qdrant's performance for large repositories.
  • Flexible deployment: Docker, Docker Compose, and Qdrant Cloud options.
  • Security & scalability: TLS, API key configuration, and cloud hosting for scalable deployments.

Quick Start

Install and run Qdrant locally using Docker, configure GrepAI to use the Qdrant endpoint, and verify integration with a status check.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: grepai-storage-qdrant
Download link: https://github.com/yoanbernabeu/grepai-skills/archive/main.zip#grepai-storage-qdrant

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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