Qdrant Neo4j Crawl4AI
Combines Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence into a cohesive platform for agentic RAG and AI assistant interactions.
关于
Qdrant Neo4j Crawl4AI is a production-ready Model Context Protocol (MCP) server engineered to power advanced AI assistant interactions. It seamlessly integrates Qdrant for semantic search and vector embeddings, Neo4j for robust knowledge graphs and memory systems, and Crawl4AI for intelligent web crawling and content extraction. Built on the FastMCP 2.0 architecture, this platform emphasizes modern Python patterns, enterprise-grade security, comprehensive monitoring, and streamlined Kubernetes deployment, serving as an AI/ML engineering powerhouse optimized for rapid development and maintainability.
主要功能
- Unified API with clean service abstractions on FastMCP 2.0
- 0 GitHub stars
- Production-ready with enterprise security, monitoring, and Kubernetes deployment patterns
- Vector intelligence via Qdrant for semantic search and embeddings
- Graph intelligence via Neo4j for knowledge graphs and memory systems
- Web intelligence via Crawl4AI for smart web crawling and content extraction
使用案例
- Creating intelligent applications requiring hybrid search and knowledge graph integration
- Building advanced AI assistant interactions
- Developing agentic RAG (Retrieval Augmented Generation) capabilities
