Popular GitHub Repositories for Langchain4j

?「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

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

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

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

Quarkus Langchain4j extension

Chat with an AI that's aware of your documents.

??轻量、灵活、易上手的创作者工具箱，构建全自动化视频剪辑/混剪流水线

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！

Examples of my tutorial on how to use Neo4j for empowering AI RAG systems

This repository contains code for the PDF Assistant created using LangChain4J, Spring Boot and Astra DB

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.

Samples showing how to build Java applications powered by Generative AI and LLMs using LangChain4j and Spring Boot.

AI Assistant using RAG technique to give contextualized responses

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

Kotlin enhancements for LangChain4j

Mock Http and LLM servers, inspired by wiremock, but with response streaming and SSE

Spring Petclinic application with a chatbot powered by OpenAI's Generative AI and the LangChain4j project

OSINT Platform - Provides image analysis, digital footprints, video transcription and more. Retrieval Augmented Generation (RAG) capable platform

InCoder is a powerful plugin designed for JetBrains IDEs, including IntelliJ IDEA, PyCharm, and others in the JetBrains ecosystem. It seamlessly integrates advanced Large Language Models (LLMs) into your development workflow, providing you with code generation, understanding, and completion capabilities, all directly within your favorite IDE.

Retrieval Augmented Generation, Function Calling and Code Generation on GitHub Projects with Java