Hello, I'm Wang Zhihong
AI Infrastructure Engineer | Open Source Maintainer
I focus on building LLM application infrastructure, especially:
- RAG (Retrieval-Augmented Generation)
- Agent frameworks
- AI developer tools
- LLM application engineering
LazyLLM is an LLM application framework designed for building:
- RAG systems
- AI Agents
- AI development tools
- Enterprise AI applications
Key features:
- Modular agent orchestration
- Advanced RAG pipeline
- Tool calling support
- Multi-user & multi-session architecture
LazyRAG is an RAG Application. Key features:
- Modular agent orchestration
- Advanced RAG pipeline
- Tool calling support
- Multi-user & multi-session architecture
- LLM Application Architecture
- Agentic RAG
- AI Developer Tools
RAG Agent Systems Prompt Engineering Vector Retrieval LLM Tooling
C++ Python CUDA Go(with cursor) TypeScript(with cursor)
Docker Milvus MinIO Elastic / OpenSearch Redis
Maintainer of:
- LazyLLM
- LazyRAG
GitHub: https://github.com/wzh1994 Email: wangzhihong@sensetime.com
If you're interested in AI infrastructure or RAG systems, feel free to connect.
⭐ If you like LazyLLM, consider giving it a star!