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qdrant

giuseppe-trisciuoglio/developer-kit

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,...

Installs241
Install command
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill qdrant
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About this skill
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. Use this skill when implementing: Follow these steps to integrate Qdrant with your Java application: Start Qdrant using Docker for local development: Include Qdrant client dependencies in your build configuration: Create and configure the Qdrant client: Set up a vector collection with appropriate dimensions: Upsert and search vectors: Use LangChain4j's QdrantEmbeddingStore for RAG applications: To begin integration, first deploy a Qdrant instance. Access Qdrant via: Add dependencies to your build configuration and initialize the client for programmatic access. Maven: Gradle: Create and configure the Qdrant client for application use: Create and configure vector collections with appropriate distance metrics and dimensions. Perform common vector operations including upsert, search, and filtering. Integrate Qdrant with Spring Boot using dependency injection and proper configuration.

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FAQ
What does qdrant do?

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,...

Is qdrant good?

qdrant does not have approved reviews yet, so SkillJury cannot publish a community verdict.

What agent does qdrant work with?

qdrant currently lists compatibility with codex, gemini-cli, opencode, cursor, github-copilot, claude-code.

What are alternatives to qdrant?

Skills in the same category include telegram-bot-builder, flutter-app-size, sharp-edges, iterative-retrieval.

How do I install qdrant?

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

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