langchat
LangChat: Java LLMs/AI Project, Supports Multi AI Providers( OpenAI / Gemini / Ollama / Azure / 智谱 / 阿里通义大模型 / 百度千帆大模型), Java生态下AI大模型产品解决方案,快速构建企业级AI知识库、AI机器人应用
Stars: 456
LangChat is an enterprise AIGC project solution in the Java ecosystem. It integrates AIGC large model functionality on top of the RBAC permission system to help enterprises quickly customize AI knowledge bases and enterprise AI robots. It supports integration with various large models such as OpenAI, Gemini, Ollama, Azure, Zhifu, Alibaba Tongyi, Baidu Qianfan, etc. The project is developed solely by TyCoding and is continuously evolving. It features multi-modality, dynamic configuration, knowledge base support, advanced RAG capabilities, function call customization, multi-channel deployment, workflows visualization, AIGC client application, and more.
README:
快速构建企业级AIGC项目
LangChat是Java生态下企业级AIGC项目解决方案,在RBAC权限体系的基础上,集成AIGC大模型能力,帮助企业快速定制AI知识库、企业AI机器人。
接入 OpenAI / Gemini / Ollama / Azure / Claude / 智谱AI / 阿里通义大模型 / 百度千帆大模型 等大模型。
本项目前后端完全由TyCoding一个人开发,工作量庞大,可能存在一些问题请谅解,持续开发中...
注意: 如果想和作者深入交流LangChat开发规划、AIGC产品研发、变现等方式,可以请作者喝一杯咖啡加入LangChat交流群
欢迎Star、fork 持续关注
LangChat文档地址: http://www.langchat.cn/docs/introduction
提供一些列商业化服务&技术支持
- 提供项目部署服务,远程部署到服务器
- 提供Docker一键部署脚本、提供前后端nginx配置脚本
- 提供项目架构讲解和AIGC产品设计&技术支持
- 提供项目二开合作,本项目不可商用,商用请联系作者授权
- 更多支持...
以上,希望有需要的朋友都可以加我微信 LangchainChat 跟我沟通。
- 多模态:支持集成国内外数十家AI大模型
- 动态配置:支持再页面上可视化动态配置大模型参数、Key等信息,无感刷新、无需每次重启服务
- 知识库:支持向量化知识库文档,定制化Prompt对话场景
- 高级RAG:支持Embedding模型,从知识库中精确搜索;集成Web Search等RAG插件
- Function Call:支持定制化Tool工具类,实现本地函数调用,从第三方加载数据并提供给LLM
- 多渠道发布:计划封装Web SDK,将AI智能客服快速嵌入任意第三方Web应用中;计划支持微信、飞书、钉钉等消息通信渠道(待完善)
- Workflows:计划开发可视化LLM流程设计器,高自定义机器人执行流程(待完善)
- 提供AIGC客户端应用,快速管理客户端数据
- 更多特性...
由于作者精力有限,开发文档会有所欠缺,可以加入我的Java微信交流群:LangChainChat(备注:闲聊)。如果有Java全栈、NextJS全栈、二开、接单、项目合作也欢迎联系我。
如果你有关于LangChat的开发问题或者二开定制等需求,或者想要深入交流Java生态AIGC产品开发、产品变现等,也可以请作者喝一杯咖啡加入我的LangChat交流群(可以一起交流LangChat后续开发规划):
添加微信:LangChainChat(备注:赞助)
Licensed under the GNU License (GPL) v3.
Copyright (c) 2024-present, TyCoding.
采用GUN GPL-v3开源协议,可以免费学习使用,个人可以免费是接入使用,商业应用请联系作者授权。
- 2024.7.15 LangChat正式发布、公开仓库
- 2024.7.19 LangChat完成分离Server、Client端业务架构,保持业务分离
- 2024.7.21 LangChat完成多存储方案,支持本地、七牛云、阿里云、腾讯云OSS服务
- 2024.7.30 LangChat开发Web SDK,接入API、WEB消息渠道,支持Iframe嵌入
- ...
- 博客: https://tycoding.cn
- Github: https://github.com/tycoding
- 邮箱: [email protected]
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