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。

基于AI的工作效率提升工具（聊天、绘画、知识库、工作流） | Ai-based productivity tools (Chat,Draw,RAG,Workflow etc)

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

🔥🔥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🔥🔥

《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

（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)

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.

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

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、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。

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.

Free and open General Purpose Agent

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

All-in-One LLM AI Assistant

Sample Spring AI Application with several use cases

Stars Lighting, enabling intelligent querying based on the RAG+MCP dual-engine architecture.

Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math

Java AI (agent) full scenario application development framework (LLM, Function Call, RAG, Embedding, Reranking, Flow, MCP Server, Mcp Client). Compatible with java8 ~ java24.

This repository contains a documentation bot powered by an LLM using @langchain4j to swiftly find answers to your Spring Boot questions. It provides easy browsing of Spring documentation and leverages the RAG technique to retrieve relevant details on demand.

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Integrates LLMs as PTransform in Apache Beam pipelines using LangChain