ruoyi-ai and spring-ai-apps
Despite both being AI application development frameworks, the former is a comprehensive enterprise-grade solution with multi-vendor LLM management and advanced knowledge base capabilities, while the latter is a Spring-AI focused starter for various AI applications like TextToSQL, making them **competitors** targeting different scales of AI solution development.
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。
Built on Spring Boot 4.0, Spring AI 2.0, and Langchain4j, the platform integrates multiple vector databases (Milvus, Weaviate, Qdrant) for RAG-based knowledge retrieval and supports MCP protocol tools alongside custom Skills. Multi-agent coordination uses a Supervisor pattern with multiple decision models, while SSE streaming and WebSocket enable real-time workflow execution with document parsing (PDF, Word, Excel) and image analysis capabilities.
About spring-ai-apps
Mark7766/spring-ai-apps
Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.
Provides pre-configured, minimal starter applications demonstrating Spring AI patterns across embedding models, vector databases (Chroma, Neo4j), and tool calling—each with resolved dependency versions to accelerate learning. Implements practical patterns like GraphRAG for knowledge graphs, streaming multi-turn conversations with memory, and MCP server/client architectures for extensible AI workflows. Targets developers building production-ready Spring applications requiring local inference (Ollama), private data RAG pipelines, and standardized protocol integration without dependency conflict overhead.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work