RuoYi AI

RuoYi AI is an enterprise-grade AI assistant platform for building applications with multi-provider LLMs and RAG pipelines.

RuoYi AI is an enterprise-grade platform designed to help users quickly build their own AI assistant applications. It features unified management for multiple large language models including OpenAI, DeepSeek, Tongyi Qianwen, Zhipu, and Ollama. The platform supports knowledge management with complete RAG pipelines including document parsing, vectorization, and hybrid retrieval. Users can orchestrate workflows using visual nodes for tasks like knowledge retrieval, conditional branching, and image generation. It also includes capabilities for tool management, model context protocol implementation, and multi-agent coordination.

RuoYi AI at a glance

Best for: Software engineer
Runs on: self-hosted, open source
Pricing: Free
Released: January 2024
Category: AI agent tool
Website: doc.ruoyiai.chat

Key features

Manage multi-vendor models like OpenAI and DeepSeek
Integrate RAG workflows with document parsing and vectorization
Orchestrate workflows using visual nodes and SSE
Support function calling and local or remote MCP
Manage system prompts, session history, and context windows
Coordinate multi-agent systems with LangChain4j Supervisor

Use it for

Building custom AI assistant platforms
Configuring knowledge bases with retrieval-augmented generation
Orchestrating visual AI workflows
Managing multi-provider LLM integrations

Companions

Tools that articles about RuoYi AI recommend using with it, each with its job.

AgentOps — Session replay and time-travel debugging for crews.
Langfuse — OTel-native traces when data must stay in-house.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
Ollama — Run whole crews on local hardware with no API keys.

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