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🔥🔥

（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)

《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

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

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

All-in-One LLM AI Assistant

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

Sample Spring AI Application with several use cases

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.

Simple CLI RAG scanner

AI Call Center,Contact Center,Customer Service System,Колл-центр,Callcenter,Centre d'appels,Centro de llamadas,Centro de atendimento,コールセンター,콜센터,Интеллектуальный колл-центр,Intelligentes Callcenter,Centre d'appels intelligent,Centro de llamadas inteligente,Centro de atendimento inteligente,インテリジェントコールセンター,지능형 콜센터

Dynamic Retrieval Augmented Generation for Optimized Nimble

Integrates LLMs as PTransform in Apache Beam pipelines using LangChain

AI Assistant using RAG technique to give contextualized responses