qdrant
Provides Java patterns for integrating Qdrant vector database with Spring Boot and LangChain4j. Covers client setup, collection management, vector operations, and RAG implementations. Includes Docker deployment, dependency configuration, and practical code examples for semantic search and retrieval systems.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install giuseppe-trisciuoglio-developer-kit-qdrant
Repository
Skill path: skills/langchain4j/qdrant
Provides Java patterns for integrating Qdrant vector database with Spring Boot and LangChain4j. Covers client setup, collection management, vector operations, and RAG implementations. Includes Docker deployment, dependency configuration, and practical code examples for semantic search and retrieval systems.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Backend, DevOps, Data / AI, Integration.
Target audience: Backend teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: giuseppe-trisciuoglio.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install qdrant into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/giuseppe-trisciuoglio/developer-kit before adding qdrant to shared team environments
- Use qdrant for backend workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.