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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.
Provide core microservices for AI agents, integration, execution, and automation orchestration.
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.
Orchestrate multiple AI agents with skills, memory, and cross-agent collaboration.