AI + Data, online. https://vespa.ai

RuoYi AI 是一个全栈式 AI 开发平台，旨在帮助开发者快速构建和部署个性化的 AI 应用。

编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

基于AI的工作效率提升工具（聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆） | Ai-based productivity tools (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG

🔥🔥DatalinkX异构数据源之间的数据同步系统，支持海量数据的增量或全量同步，同时支持HTTP、Oracle、MySQL、ES等数据源之间的数据流转，支持中间transform算子如SQL算子、大模型算子，底层依赖Flink、Seatunnel引擎，提供流转任务管理、任务级联配置、任务日志采集等功能🔥🔥

（Spring Boot 3. X Microservices framework） 基于Spring Boot 3.X 的 Spring Cloud Alibaba / Spring Cloud Tencent + React的微服务框架。🔝 🔝 点个starrred 关注更新。Chat GPT(RAG、TTS、STT、LLM)

Java AI（智能体） 全场景应用开发框架（LLM，Function Call，RAG，Embedding，Reranking，Flow，MCP Server，Mcp Client，Mcp Proxy）。同时兼容 java8 ~ java25。也可嵌入到 SpringBoot2、jFinal、Vert.x 等框架中使用。。支持 MCP_2025_03_26（mcp streamable）

Build programmatically custom agentic workflows, AI Agents, RAG systems for java

This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more conducive to secondary development.

Asking yours data in a natural language way through pre-modeling (data models and semantic models).

Art 是一个开源的、一站式 AI 应用开发平台，其灵感来源于行业领先的 Coze 和 Dify。我们致力于将这些先进的 LLM 应用编排理念带入 Java 世界，为广大 Java 开发者提供一个熟悉、高效、稳定且易于扩展的 AI 应用构建环境。

Multi-Agent,MCP,RAG,SpringAI1.0.0,RE-ACT

Odin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracting context from diverse sources using technologies such as OCR, enhancing overall productivity and saving costs.

Extract data from websites in LLM ready JSON or CSV format. Crawl or Scrape entire website with Website Crawler

Free and open General Purpose Agent

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.

Sample Spring AI Application with several use cases

A command-line chatbot built with Spring AI that demonstrates Retrieval-Augmented Generation (RAG) and conversational memory capabilities.