ruoyi-ai and ragent

The frameworks are competitors, as both aim to provide comprehensive AI application development capabilities, with B specifically focusing on RAG within the Spring Boot ecosystem, while A offers a broader enterprise-grade AI application development framework that also includes high-precision retrieval optimization relevant to RAG.

ruoyi-ai
71
Verified
ragent
69
Established
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 22/25
Adoption 10/25
Maturity 13/25
Community 24/25
Stars: 4,898
Forks: 1,208
Downloads:
Commits (30d): 34
Language: Java
License: MIT
Stars: 589
Forks: 124
Downloads:
Commits (30d): 72
Language: Java
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About ruoyi-ai

ageerle/ruoyi-ai

面向企业级市场的一站式AI应用开发框架,支持多厂商大模型统一接入与管理,具备安全可控的企业知识库与高精度检索优化能力,提供可视化流程编排、自主决策智能体与多智能体协同调度,兼容主流 Agent Skill 协议,同时支持微信生态扩展,帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。

This platform helps businesses create tailored AI assistants that can understand your documents, automate tasks, and make decisions. You provide company-specific knowledge bases and define workflows, and the platform generates AI agents capable of answering questions, sending emails, or conducting reviews. Business leaders, operations managers, or IT departments can use this to deploy custom AI solutions for internal operations or customer service.

enterprise-AI workflow-automation knowledge-management AI-assistant-development business-process-optimization

About ragent

nageoffer/ragent

RAG综合智能体 - 基于Spring Boot的智能文档处理与检索系统,集成向量数据库,拥有智能问答、知识库、会话记忆、深度思考等功能

Ragent AI is a powerful system that transforms your raw business documents, like PDFs and web pages, into an intelligent knowledge base. It allows employees or customers to ask questions in plain language and get accurate, context-aware answers. This tool is designed for organizations looking to build an internal AI assistant or an intelligent customer support system.

enterprise-knowledge-management intelligent-customer-support internal-qa-systems document-intelligence information-retrieval

Scores updated daily from GitHub, PyPI, and npm data. How scores work