$ loading_
Build secure enterprise AI agents, knowledge bases, and automated workflows fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ruoyi-ai" yet — see the docs or source repo.
Please configure an enterprise knowledge-base assistant using company policies, product manuals, and FAQ documents. It should support permission control and optimized semantic retrieval, and provide a recommended knowledge-base structure and Q&A workflow.
A deployable knowledge-base plan with retrieval, permission settings, and a Q&A workflow design.
Help me design a sales-lead handling agent workflow: automatically receive form submissions, identify customer intent, query the knowledge base to generate replies, assign leads to the right salesperson, and explain the nodes and rules required for each step.
A visual workflow plan including node definitions, triggers, automation rules, and execution logic.
Please design a multi-provider LLM integration plan for our AI application, including a unified calling interface, model switching strategy, cost and performance monitoring, and security recommendations for production environments.
A unified model integration architecture with switching, monitoring, and security compliance recommendations.
Learn Spring AI and MCP to build agents and LLM applications.
Build and deploy serverless AI agents on geo-distributed edge infrastructure.
Build self-hosted visual AI workflows with agents, RAG, HITL, and observability.
Build AI assistants and bots integrating IM platforms, LLMs, and plugins.
Explore in-depth tutorials on LAGs, RAGs, and real-world AI agents.
A shared workspace for AI agents to access knowledge, skills, and tools.