Popular GitHub Repositories for J2534

?「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性

Reliable LLM Memory for AI Applications and AI Agents

Neo4j graph construction from unstructured data using LLMs

HelixDB is a powerful, graph-vector database built in Rust for millisecond query latency and ease of use.

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

基于大模型 RAG 知识库的知识图谱问答系统。Llamaindex + VueJS + Flask + Neo4j。大模型适配 OpenAI、国内主流大模型平台的模型调用、本地 vllm 部署。支持推理模型DeepSeek-R1、联网检索。

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

2025年AI开发实战项目：打造AI恋爱大师和自主规划智能体YuManus！本教程基于Spring Boot 3、Java 21和Spring AI，带你从零构建这两个应用。你将学习AI大模型接入、Spring AI核心特性、Prompt工程与优化、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开发以及Cursor AI工具等核心技术。掌握这些技能，你将成为AI时代炙手可热的程序员，让你的简历脱颖而出，在求职竞争中占据优势！

? LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j

编程导航 2025 年 AI + 微服务全栈新项目，基于 Spring Boot 3 + LangChain4j 构建对标大厂的 AI 应用生成平台，支持多种模式的智能代码生成、可视化编辑预览、一键部署分享、应用管理、AI 智能路由等。覆盖 AI 智能体开发、LangGraph4j 工作流、Tool Calling、SSE、Vue 3 全栈开发、Spring Cloud 微服务架构、MySQL / Redis / COS / Caffeine 存储、Nginx、多种设计模式、ARMS + Prometheus + Grafana 监控、Cursor Vibe Coding 等核心技术。 用一套教程掌握大厂级 AI 智能体开发+前后端核心技术，成为 AI 时代企业的香饽饽，给你的简历增加竞争力

基于AI的工作效率提升工具 | Ai-based productivity tools (Chat,Draw,RAG etc)

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Agents-Flex is an elegant LLM Application Framework like LangChain with Java.

Java implementation for LangChain

Medical Graph for Neo4j

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

Repo for fine-tuning Casual LLMs

A Model Context Protocol server built in TypeScript that leverages Neo4j’s graph database, delivers intelligent project and task management while empowering LLM agents with seamless collaboration and guidance.

一款JavaSDK用于快速接入AI大模型应用，整合多平台大模型，如OpenAi、智谱Zhipu(ChatGLM)、深度求索DeepSeek、月之暗面Moonshot(Kimi)、腾讯混元Hunyuan、零一万物(01)等等，提供统一的输入输出(对齐OpenAi)消除差异化，优化函数调用(Tool Call)，优化RAG调用、支持向量数据库(Pinecone)、内置联网增强，并且支持JDK1.8，为用户提供快速整合AI的能力。