基于 Java Web 项目的 SpringBoot 框架初始化模板，该模板整合了常用的框架（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等），广泛支持JDK11和JDK17，部分版本兼容JDK8，同时接入了Spring AI，该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。

This is an encrypted Angular 18 PWA messenger application with an AI friend that can work offline and has a reactive Spring Boot 3 backend with a MongoDB to store the messages in a clean architecture. With a Kubernetes setup. Structurizr is used for C4 diagrams.

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

Spring AI Examples

Simple Quiz web app build with Spring

智搜通—大数据量下的综合性教务公告检索平台

This repository contains the source code of a chatbot for a medical practice. It is based on a microservices architecture and uses a large language model to generate relevant and natural responses, following the RAG principle.

A Spring AI Exploring Project[Caicai].

Spring AI with elasticsearch integration and mistral.ai

Product recommendation system using AI.

It is a spring ai LLM demo of petclinic

A Spring AI Application for Generating and Storing Leetcode-Style Questions

An OpenAI Chatbot

A Spring Boot-powered AI application that leverages OpenAI API to generate text, images, and respond to dynamic prompts. It intelligently processes user inputs, transforming them into creative and meaningful outputs through advanced AI models.

Large Language Model Retrieval Augmented Generation (LLM-RAG) with Spring AI.

基于费曼学习法构建的RAG应用。采用spring ai作为构建框架，并集合了智谱AI和neo4j向量数据库

Ce repo est la partie frontend d'une application démontrant l'intégration de l'IA générative dans une application Spring Boot en utilisant OpenAI.

Este projeto é uma API desenvolvida inteiramente em Java, projetada para possibilitar a interação de usuários com o Chat Bot chamado Maya. O objetivo desta API é fornecer endpoints de conversação com a Maya, a fim de sanar dúvidas gerais e responder perguntas específicas que os usuários possam ter.

The Genius Hive App combines advanced AI technologies with a user-friendly interface, enabling seamless interaction with a Language Model (LLM) acting as a scientist. Built with Next.js and Tailwind CSS on the frontend, and Spring Boot on the backend, the app utilizes SpringAI and integrates OpenAI API for enhanced natural language processing

Ce repo contient une application démontrant l'intégration de l'IA générative dans une application Spring Boot en utilisant OpenAI.