Qdrant Neo4j Crawl4AI
Integrates Qdrant, Neo4j, and Crawl4AI to provide intelligent AI coordination through vector and graph intelligence.
About
The Qdrant Neo4j Crawl4AI server offers a robust solution for advanced data management and AI-driven insights by seamlessly integrating Qdrant's vector search, Neo4j's knowledge graphs, and Crawl4AI's web intelligence capabilities. Built on the high-performance FastMCP 2.0 framework, it is engineered for scalability and supports agentic Retrieval-Augmented Generation (RAG) functionalities. This architecture leverages Qdrant for efficient semantic search, Neo4j for managing complex interconnected data, Crawl4AI for comprehensive web data collection, and an Agentic RAG Engine for intelligent data processing, all orchestrated for deployment via Kubernetes.
Key Features
- Efficient vector search with Qdrant
- Knowledge graph management using Neo4j
- Integrated web intelligence via Crawl4AI
- Support for Agentic Retrieval-Augmented Generation (RAG)
- Kubernetes-ready for scalable deployment
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Use Cases
- Developing intelligent AI and machine learning applications
- Building sophisticated agentic RAG systems for data retrieval and generation
- Managing and querying complex knowledge graphs with integrated web data
