Qdrant Enhanced
Provides an enhanced Model Context Protocol server for Qdrant, enabling robust vector memory management with advanced performance and deployment features.
关于
The Enhanced Qdrant server is a production-ready evolution of the original Qdrant Model Context Protocol server, designed to elevate vector memory management to an enterprise-grade solution. It integrates GPU acceleration for significantly faster embedding generation, supports multi-vector collections with smart model selection, and offers robust deployment automation via Docker and NPM. This powerful enhancement provides structured data returns, type safety, and battle-tested performance across diverse collection types, making it ideal for high-demand AI applications requiring efficient and reliable context retrieval.
主要功能
- Smart model selection with automatic 384D/768D/1024D embedding based on collection type
- Structured JSON data returns for `qdrant-find` with score-based filtering
- 0 GitHub stars
- Production-ready Docker automation with optimized containers and CI/CD
- TypeScript-inspired type safety and comprehensive validation for data integrity
- GPU acceleration with FastEmbed and CUDA support for 10x performance
使用案例
- Managing and retrieving vectorized context for AI applications and language models.
- Deploying scalable, production-grade vector memory services with integrated GPU support.
- Enhancing search quality for domain-specific knowledge bases (e.g., career, legal, technical content).