change readme

README.md

@@ -4,10 +4,16 @@
 
 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大模型功能，帮助企业快速定制知识库、企业机器人。
 
-[English](./README_en.md)
+[English](./README_en)
+
+- 网站文档：[http://langchat.cn/](http://langchat.cn/)
+- 后台地址：[http://backend.langchat.cn/](http://backend.langchat.cn/)
+- 前台地址：[http://front.langchat.cn/](http://front.langchat.cn/)
 
 **注意：** 目前LangChat仍在持续开发中，可能存在一些Bug和不完善的地方，作者将尽快修复。
 
+**欢迎Star、fork 持续关注**
+
 ## 特性
 
 1. 多模态：支持集成国内外数十家AI大模型
@@ -17,7 +23,8 @@ LangChat是Java生态下企业级AIGC项目解决方案，在RBAC权限体系的
 5. 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
 6. 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）
 7. 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）
-8. 更多特性...
+8. 提供AIGC客户端应用，快速管理客户端数据
+9. 更多特性...
 
 ## 赞助
 
@@ -29,6 +36,18 @@ LangChat是Java生态下企业级AIGC项目解决方案，在RBAC权限体系的
 
 ![](imgs/MIK-u8rMXC.png)
 
+## 预览
+
+![](imgs/MIK-fYD77Q.png)
+
+![](imgs/MIK-HsjZrq.png)
+
+![](imgs/MIK-qmfti3.png)
+
+![](imgs/MIK-pMyQJN.png)
+
+![](imgs/MIK-v4zoRt.png)
+
 ## 感谢
 
 - [LangChain4j](https://github.com/langchain4j/langchain4j)

README_en.md

@@ -4,10 +4,16 @@
 
 LangChat is an enterprise-level AIGC project solution in the Java ecosystem. Based on the RBAC permission system, it integrates AIGC large model functionalities to help enterprises quickly customize knowledge bases and enterprise robots.
 
-[中文](./README.md)
+[中文](./README)
+
+- Website Docs：[http://langchat.cn/](http://langchat.cn/)
+- Backend Preview：[http://backend.langchat.cn/](http://backend.langchat.cn/)
+- Front Preview：[http://front.langchat.cn/](http://front.langchat.cn/)
 
 **Note:** LangChat is still under continuous development and may have some bugs and imperfections. The author will fix them as soon as possible.
 
+**Welcome Star, fork to continue to pay attention**
+
 ## Features
 
 1. Multimodal: Supports integration with dozens of AI large models from both domestic and international sources.
@@ -17,7 +23,8 @@ LangChat is an enterprise-level AIGC project solution in the Java ecosystem. Bas
 5. Function Call: Supports customized tool classes for local function calls, loading data from third parties, and providing them to LLM.
 6. Multi-channel Release: Plans to encapsulate a Web SDK to quickly embed AI smart customer service into any third-party web application; plans to support messaging channels such as WeChat, Feishu, DingTalk, etc. (to be improved).
 7. Workflows: Plans to develop a visual LLM process designer for highly customized robot execution processes (to be improved).
-8. More features...
+8. Provides AIGC client applications to quickly manage client data
+9. More features...
 
 ## Sponsorship