RuoYi AI is an enterprise-grade AI development framework for building and orchestrating AI agents with multi-provider language model support and advanced retrieval-augmented generation capabilities.
The framework addresses the complexity of building production-ready AI systems by providing unified management across multiple LLM providers, secure knowledge base integration with high-precision retrieval, and visual workflow design. It uses Langchain4j as its agent foundation and supports Supervisor mode orchestration to coordinate multiple agents with flexible decision models. The tool ecosystem integrates the MCP protocol standard alongside extensible skills, while the knowledge management layer combines local RAG with vector database options including Milvus, Weaviate, and Qdrant for document-backed retrieval.
Organizations building multi-agent systems or requiring enterprise knowledge base integration should consider this framework. It suits teams needing visual workflow orchestration without code, those managing multiple LLM providers simultaneously, and projects requiring document parsing and semantic search. The platform includes admin and user-facing interfaces alongside integration with external platforms like Coze, DIFY, FastGPT, and RAGFlow, making it suitable for teams wanting a complete stack rather than building components separately.
The project maintains active development across multiple repositories covering backend services, frontend applications, and specialized modules. The codebase is written in Java and includes comprehensive documentation with live demonstration environments available for evaluation.
