🔥一款基于AIGC和低代码引擎的AI低代码平台,旨在帮助企业快速实现低代码开发和构建、部署个性化的 AI 应用。 前后端分离 SpringBoot,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! 成套AI大模型功能: AI模型管理、AI应用、知识库、AI流程编排、AI对话助手等;
-
Updated
Apr 25, 2025 - Java
🔥一款基于AIGC和低代码引擎的AI低代码平台,旨在帮助企业快速实现低代码开发和构建、部署个性化的 AI 应用。 前后端分离 SpringBoot,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! 成套AI大模型功能: AI模型管理、AI应用、知识库、AI流程编排、AI对话助手等;
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)
🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j
JeeccgBoot项目的启动模块,拆分出来便于维护 含各种starter:微服务启动、xxljob、分布式锁starter、rabbitmq、分布式事务、分库分表shardingsphere、mongondb
Chat with an AI that's aware of your documents.
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。
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
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
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
Kotlin enhancements for LangChain4j
Mock HTTP/SSE 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
Add a description, image, and links to the langchain4j topic page so that developers can more easily learn about it.
To associate your repository with the langchain4j topic, visit your repo's landing page and select "manage topics."