RuoYi AI: Build and Deploy Custom AI Apps Fast 174

What is RuoYi ai?

RuoYi AI is a full-stack AI development platform that helps developers quickly build and deploy personalized AI applications. It supports local RAG solutions, integrates multiple large language models and AI drawing capabilities, and provides rich multimedia, payment, WeChat extension, and plugin features. Developed based on the RuoYi framework, it inherits features such as modular design and permission management, making it suitable for enterprise-level intelligent management, education, intelligent customer service, content creation, and many other fields.

Features

• Local RAG Solution: Integrates vector databases such as Milvus/Weaviate and local embedding models, supports Ollama for invoking local LLMs, enabling efficient retrieval and generation while ensuring data privacy.

• Rich Model Integration: Built-in network protocols such as SSE and WebSocket, supporting connections to dozens of large language models including OpenAI, ChatGLM, and iFlytek Spark, while also integrating Midjourney and DALLE AI drawing capabilities.

• Powerful Multimedia Features: Supports AI translation, voice cloning, and AI cover singing, meeting a variety of multimedia needs.

• WeChat Extension Features: Supports integrating large models into personal WeChat or enterprise WeChat, facilitating deep integration with the WeChat ecosystem.

• Rich Plugin Features: Supports web plugins, SQL query plugins, and Text2API plugins, extending system capabilities to meet diverse needs.

• Payment Features: Supports multiple payment methods including YPay and WeChat Pay.

Technical Principles

• Based on the RuoYi Framework: Inherits features such as modular design, permission management, and code generator, providing efficient enterprise-level application development capabilities.

• Localized RAG Implementation: Integrates vector databases such as Milvus/Weaviate to enable vectorized knowledge base retrieval. Combined with local LLMs (such as Ollama), it completes knowledge retrieval and generation locally, ensuring data privacy and high performance.

• Multi-Model Integration and Communication: Based on network protocols such as SSE (Server-Sent Events) and WebSocket, it enables real-time communication and integration with multiple large language models, supporting dynamic invocation of different models.

Application Scenarios

• Enterprise Applications: Intelligent customer service, meeting assistants, real-time translation.

• Education Field: Learning tutoring, creative drawing.

• Content Creation: copywriting generation, audio production.

• Personal Development: Quickly build intelligent applications with privacy guaranteed.

Development Environment and Deployment

• Development Environment Requirements: JDK 17, MySQL 5.7 or 8.0, Redis 5.0+, Maven 3.8+, Node.js 20+, and pnpm need to be installed.

• Deployment Method: Supports Docker and Nginx deployment, facilitating rapid project deployment and scaling.

Related Links

Project Official Website:https://doc.pandarobot.chat/

GitHub Repository:https://github.com/ageerle/ruoyi-ai

Gitee Repository:https://gitee.com/ageerle/ruoyi-ai

RuoYi AI includes a full set of systems including frontend applications, backend management, and mini-programs, ready to use out of the box, and is open-sourced under the MIT license (free for commercial use).