·qdrant

Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.

226Installs·3Trend·@giuseppe-trisciuoglio

Installation

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill qdrant

How to Install qdrant

Quickly install qdrant AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill qdrant
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: giuseppe-trisciuoglio/developer-kit.

SKILL.md

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Qdrant is an AI-native vector database for semantic search and similarity retrieval. This skill provides patterns for integrating Qdrant with Java applications, focusing on Spring Boot integration and LangChain4j framework support. Enable efficient vector search capabilities for RAG systems, recommendation engines, and semantic search applications.

Follow these steps to integrate Qdrant with your Java application:

Add dependencies to your build configuration and initialize the client for programmatic access.

Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines. Source: giuseppe-trisciuoglio/developer-kit.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill qdrant
Category
</>Dev Tools
Verified
First Seen
2026-02-19
Updated
2026-03-10

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Quick answers

What is qdrant?

Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines. Source: giuseppe-trisciuoglio/developer-kit.

How do I install qdrant?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill qdrant Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/giuseppe-trisciuoglio/developer-kit