RuoYi AI

One-Minute Overview#

RuoYi AI is an enterprise-level AI assistant platform that provides out-of-the-box intelligent features with deep integration of mainstream AI platforms like FastGPT, Kozi, and DIFY. It supports advanced RAG technology, knowledge graph construction, and AI workflow orchestration. It's suitable for enterprise developers and teams who need to quickly build AI applications, enabling multi-model management and complex AI task automation through unified interfaces.

Core Value: A one-stop AI development platform that allows developers to build powerful AI applications without starting from scratch.

Quick Start#

Installation Difficulty: Medium - Requires Java development environment and database knowledge

# Clone the project
git clone https://github.com/ageerle/ruoyi-ai.git

# Install dependencies
cd ruoyi-ai
mvn clean install

# Start the service
java -jar target/ruoyi-ai.jar

Is this suitable for my scenario?

• ✅ Enterprise internal AI application development: Supports local deployment to protect data security
• ✅ Multi-platform AI service integration: Unified management of different AI platform API calls
• ✅ Knowledge base construction and application: Supports private knowledge base and RAG capabilities
• ❌ Simple chatbot requirements: Too feature-rich for simple use cases

Core Capabilities#

1. Multi-Model Integration#

Supports mainstream models like OpenAI GPT-4, Azure, ChatGLM, Qianwen, and Zhipu AI, with unified interfaces for model management and invocation. Actual Value: Developers don't need to write adapter code for different models and can flexibly switch to the most suitable AI model.

2. Deep AI Platform Integration#

Natively supports FastGPT API, integrates with ByteDance's Kozi platform official SDK, and is fully compatible with DIFY, providing a unified chat service interface. Actual Value: Enterprises can seamlessly integrate existing AI platform resources and build a unified AI service entry point.

3. Localized RAG Solution#

Based on Langchain4j framework and BGE-large-zh-v1.5 Chinese vector model, supports multiple vector databases, with fully local deployment to protect data privacy. Actual Value: Enterprises can build secure and controllable knowledge bases in local environments to meet data compliance requirements.

4. AI Creation Tools#

Integrates AI drawing tools like DALL·E-3, MidJourney, and Stable Diffusion, providing intelligent PPT generation and multimodal understanding capabilities. Actual Value: Non-design professionals can quickly generate high-quality visual content, improving content creation efficiency.

5. Knowledge Graph and Intelligent Orchestration#

Automatically extracts entity relationships from documents and conversations to build visual knowledge networks, supporting AI workflow orchestration and digital human interaction. Actual Value: Transforms unstructured information into structured knowledge, enabling visualized orchestration and automated execution of complex AI tasks.

Technology Stack & Integration#

Development Languages: Java (primary), with small amounts of Shell, JavaScript, CSS, HTML, TypeScript Main Dependencies: Spring Boot 3.4, Spring AI, Langchain4j, MySQL 8.0, Redis, Sa-Token, JWT Integration Method: Complete platform (backend + frontend + admin panel)

Maintenance Status#

• Development Activity: Actively maintained, with v2.1.0 stable version released
• Recent Updates: Recent stable version release, development team continuously iterating
• Community Response: Active community with 35 contributors, responsive to issues and suggestions

Commercial & Licensing#

License: MIT

• ✅ Commercial Use: Allowed
• ✅ Modification: Allowed
• ⚠️ Restrictions: Requires attribution

Documentation & Learning Resources#

• Documentation Quality: Comprehensive
• Official Documentation: https://doc.pandarobot.chat
• Example Code: Available
• Online Experience:
  • User Interface: https://web.pandarobot.chat (admin/admin123)
  • Admin Backend: https://admin.pandarobot.chat (admin/admin123)