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LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

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

DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code.

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

基于 Java Web 项目的 SpringBoot 框架初始化模板，适配最新版本Spring AI，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。

A simple Java library for interacting with Ollama server.

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。

Mindolph is an open source personal knowledge management software with Gen-AI support for all desktop platforms.

Web UI for Ollama built in Java with Vaadin, Spring Boot and Ollama4j

【APaaS零代码平台】敲敲云是一款免费APaaS零代码平台结合AI应用平台，帮助企业快速搭建个性化业务应用！用户无需任何代码，即可搭建出符合业务需求的个性化应用。敲敲云拥有完善的应用搭建能力、表单引擎、流程引擎、仪表盘引擎，可满足企业的日常需求

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.

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

A Ollama client for Android!

Free and open General Purpose Agent

Sample Spring AI Application with several use cases

Samples showing architectural patterns for Modular RAG using Spring AI and Ollama.

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

A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

A java client for Ollama