Summary
This gets Qdrant vector database working with Java and LangChain4j for semantic search and RAG pipelines. You'll find patterns for Spring Boot integration, Docker deployment, and the usual vector operations like similarity search with filters. The skill covers both the raw Qdrant client and LangChain4j's abstractions, which matters because you often need one or the other depending on your setup. Includes multi-tenant patterns and proper async handling. Watch the vector dimension matching, it's strict and will break silently if your embedding model outputs different sizes than your collection expects. Good starting point if you're building retrieval systems in Java rather than Python.
Install to Claude Code
npx -y skills add giuseppe-trisciuoglio/developer-kit --skill qdrant --agent claude-codeInstalls into .claude/skills of the current project.
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
