update readme

update 官网
2026-02-19 15:39:18 +08:00 · 2025-06-10 17:07:05 +08:00 · 2025-06-10 16:59:49 +08:00 · 2025-06-10 16:58:28 +08:00 · 2025-06-10 14:37:26 +08:00 · 2025-06-10 14:29:33 +08:00
39 changed files with 777 additions and 772 deletions
--- a/4
+++ b/4
@@ -1,5 +1,5 @@
 # Build stage
-FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
+FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
 WORKDIR /src

 # Copy csproj and restore as distinct layers
@@ -13,7 +13,7 @@ RUN dotnet build "AntSK.csproj" -c Release -o /app/build
 RUN dotnet publish "AntSK.csproj" -c Release -o /app/publish

 # Runtime stage
-FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS base
+FROM mcr.microsoft.com/dotnet/aspnet:9.0 AS base
 WORKDIR /service
 EXPOSE 5000

--- a/4
+++ b/4
@@ -1,4 +1,4 @@
-FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
+FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
 WORKDIR /src
 COPY ["src/AntSK/AntSK.csproj", "AntSK/"]
 RUN dotnet restore "AntSK/AntSK.csproj"
@@ -7,7 +7,7 @@ WORKDIR "/src/AntSK"
 RUN dotnet build "AntSK.csproj" -c Release -o /app/build
 RUN dotnet publish "AntSK.csproj" -c Release -o /app/publish

-FROM registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk-base:v1.0.0 AS final
+FROM registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk-base:9.0.0 AS final
 WORKDIR /app
 COPY --from=build /app/publish .

--- a/8
+++ b/8
@@ -8,9 +8,9 @@

 **一. 商用许可**

-1. **免费商用**：用户在不修改代码的情况下，可以免费用于商业目的。
+1. **免费商用**：用户在不修改logo和名称的情况下，可以免费用于商业目的。
 2. **商业授权**：如果您满足以下任意条件之一，需取得商业授权：
-   1. 对本软件进行二次修改、开发（包括但不限于修改应用名称、logo、代码以及功能）。
+   1. 修改应用名称、logo、版权信息等。
   2. 为企业客户提供多租户服务，且该服务支持 10 人或以上的使用。
   3. 预装或集成到硬件设备或产品中进行捆绑销售。
   4. 政府或教育机构的大规模采购项目，特别是涉及安全、数据隐私等敏感需求时。
@@ -49,9 +49,9 @@ This software is licensed under the **Apache License 2.0**. In addition to the t

 **I. Commercial Use License**

-1. **Free Commercial Use**: Users can use the software for commercial purposes without modifying the code.
+1. **Free Commercial Use**: Users can use it for commercial purposes for free without modifying the logo and name.
 2. **Commercial License Required**: A commercial license is required if any of the following conditions are met:
-   1. You modify, develop, or alter the software, including but not limited to changes to the application name, logo, code, or functionality.
+   1. Modify the application name logo、 Copyright information, etc.
   2. You provide multi-tenant services to enterprise customers with 10 or more users.
   3. You pre-install or integrate the software into hardware devices or products and bundle it for sale.
   4. You are engaging in large-scale procurement for government or educational institutions, especially involving security, data privacy, or other sensitive requirements.
--- a/README.en.md
+++ b/README.en.md
@@ -0,0 +1,236 @@
+[简体中文](./README.md) | English
+# AntSK
+## AI Knowledge Base/Intelligent Agent built on .Net9 + AntBlazor+SemanticKernel
+
+## ⭐Core Features
+
+- **Semantic Kernel**: Utilizes advanced natural language processing technology to accurately understand, process, and respond to complex semantic queries, providing users with precise information retrieval and recommendation services.
+
+- **Kernel Memory**: Capable of continuous learning and storing knowledge points, AntSK has long-term memory function, accumulates experience, and provides a more personalized interaction experience.
+
+- **Knowledge Base**: Import knowledge base through documents (Word, PDF, Excel, Txt, Markdown, Json, PPT) and perform knowledge base Q&A.
+
+- **GPT Generation**: This platform supports creating personalized GPT models, enabling users to build their own GPT models.
+
+- **API Interface Publishing**: Exposes internal functions in the form of APIs, enabling developers to integrate AntSK into other applications and enhance application intelligence.
+
+- **API Plugin System**: Open API plugin system that allows third-party developers or service providers to easily integrate their services into AntSK, continuously enhancing application functionality.
+
+- **.Net Plugin System**: Open dll plugin system that allows third-party developers or service providers to easily integrate their business functions by generating dll in standard format code, continuously enhancing application functionality.
+
+- **Online Search**: AntSK, real-time access to the latest information, ensuring users receive the most timely and relevant data.
+
+- **Model Management**: Adapts and manages integration of different models from different manufacturers, models offline running supported by **llamafactory** and **ollama**.
+
+- **Domestic Innovation**: AntSK supports domestic models and databases and can run under domestic innovation conditions.
+
+- **Model Fine-Tuning**: Planned based on llamafactory for model fine-tuning.
+
+## ⛪Application Scenarios
+
+AntSK is suitable for various business scenarios, such as:
+- Enterprise knowledge management system
+- Automatic customer service and chatbots
+- Enterprise search engine
+- Personalized recommendation system
+- Intelligent writing assistance
+- Education and online learning platforms
+- Other interesting AI Apps
+
+## ✏️Function Examples
+### Online Demo
+[document](http://antsk.cn/)
+
+[demo](https://demo.antsk.cn/)
+and
+[demo1](https://antsk.ai-dotnet.com/)
+
+```
+Default account: test
+
+Default password: test
+
+Due to the low configuration of the cloud server, the local model cannot be run, so the system settings permissions have been closed. You can simply view the interface. If you want to use the local model, please download and use it on your own.
+```
+
+### Other Function Examples
+[Video Demonstration](https://www.bilibili.com/video/BV1zH4y1h7Y9/)
+
+## ❓How to get started?
+
+Here I am using Postgres as the data and vector storage because Semantic Kernel and Kernel Memory support it, but you can also use other options.
+
+The model by default supports the local model of openai, azure openai, and llama. If you need to use other models, you can integrate them using one-api.
+
+The Login configuration in the configuration file is the default login account and password.
+
+The following configuration file needs to be configured
+
+## 1️⃣Using docker-compose
+
+Provided the pg version **appsettings.json** and simplified version (Sqlite+disk) **docker-compose.simple.yml**
+
+Download **docker-compose.yml** from the project root directory and place the configuration file **appsettings.json** in the same directory.
+
+The pg image has already been prepared. You can modify the default username and password in docker-compose.yml, and then the database connection in your **appsettings.json** needs to be consistent.
+
+Then you can execute the following command in the directory to start AntSK
+```
+docker-compose up -d
+```
+
+## 2️⃣How to mount local models and model download directory in docker
+```
+# Non-host version, do not use local proxy
+version: '3.8'
+services:
+  antsk:
+    container_name: antsk
+    image: registry.cn-hangzhou.aliyuncs.com/AIDotNet/antsk:v0.6.3
+    ports:
+      - 5000:5000
+    networks:
+      - antsk
+    depends_on:
+      - antskpg
+    restart: always
+    environment:
+      - ASPNETCORE_URLS=http://*:5000
+    volumes:
+      - ./appsettings.json:/app/appsettings.json # Local configuration file needs to be placed in the same directory
+      - D://model:/app/model
+networks:
+  antsk:
+    external: true
+```
+Taking this as an example, it means mounting the local D://model folder of Windows into the container /app/model. If so, the model address in your appsettings.json should be configured as
+
+[LiteDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.simple.yml)
+
+The compact version is deployed with sqlite-disk by one click
+
+[FullDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.yml)
+
+The full version uses pg+aspire
+
+
+## 3️⃣Some meanings of configuration file
+```
+{
+  "DBConnection": {
+    "DbType": "Sqlite",
+    "ConnectionStrings": "Data Source=AntSK.db;"
+  },
+  "KernelMemory": {
+    "VectorDb": "Disk",
+    "ConnectionString": "Host=;Port=;Database=antsk;Username=;Password=",
+    "TableNamePrefix": "km-"
+  },
+  "FileDir": {
+    "DirectoryPath": "D:\\git\\AntBlazor\\model"
+  },
+  "Login": {
+    "User": "admin",
+    "Password": "admin"
+  },
+  "BackgroundTaskBroker": {
+    "ImportKMSTask": {
+      "WorkerCount": 1 
+    }
+  }
+}
+```
+```
+// Supports various databases, you can check SqlSugar, MySql, SqlServer, Sqlite, Oracle, PostgreSQL, Dm, Kdbndp, Oscar, MySqlConnector, Access, OpenGauss, QuestDB, HG, ClickHouse, GBase, Odbc, OceanBaseForOracle, TDengine, GaussDB, OceanBase, Tidb, Vastbase, PolarDB, Custom
+DBConnection.DbType
+
+// Connection string, need to use the corresponding string according to the different DB types
+DBConnection.ConnectionStrings
+
+//The type of vector storage, supporting Postgres, Disk, Memory, Qdrant, Redis, AzureAISearch
+//Postgres and Redis require ConnectionString configuration
+//The ConnectionString of Qdrant and AzureAISearch uses Endpoint | APIKey
+KernelMemory.VectorDb
+
+//Local model path, used for quick selection of models under llama, as well as saving downloaded models.
+FileDir.DirectoryPath
+
+//Default admin account password
+Login
+
+//Import asynchronous processing thread count. A higher count can be used for online API, but for local models, 1 is recommended to avoid memory overflow issues.
+BackgroundTaskBroker.ImportKMSTask.WorkerCount
+
+```
+
+## ⚠️Fixing Style Issues:
+Run the following in AntSK/src/AntSK:
+```
+dotnet clean
+dotnet build
+dotnet publish "AntSK.csproj"
+```
+Then navigate to AntSK/src/AntSK/bin/Release/net8.0/publish and run:
+```
+dotnet AntSK.dll
+```
+The styles should now be applied after starting.
+
+I'm using CodeFirst mode for the database, so as long as the database connection is properly configured, the table structure will be created automatically.
+
+## ✔️Using llamafactory
+```
+1. First, ensure that Python and pip are installed in your environment. This step is not necessary if using an image, such as version v0.2.3.2, which already includes the complete Python environment.
+2. Go to the model add page and select llamafactory.
+3. Click "Initialize" to check whether the 'pip install' environment setup is complete.
+4. Choose a model that you like.
+5. Click "Start" to begin downloading the model from the tower. This may involve a somewhat lengthy wait.
+6. After the model has finished downloading, enter http://localhost:8000/ in the request address. The default port is 8000.
+7. Click "Save" and start chatting.
+8. Many people ask about the difference between LLamaSharp and llamafactory. In fact, LLamaSharp is a .NET implementation of llama.cpp, but only supports local gguf models, while llamafactory supports a wider variety of models and uses Python implementation. The main difference lies here. Additionally, llamafactory has the ability to fine-tune models, which is an area we will focus on integrating in the future.
+```
+
+## 💕 Contributors
+
+This project exists thanks to all the people who contribute.
+
+<a href="https://github.com/AIDotNet/AntSK/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AIDotNet/AntSK&max=1000&columns=15&anon=1" />
+</a>
+
+## 🚨  Use Protocol
+
+This warehouse follows the [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) open source protocol.
+
+This project follows the Apache 2.0 agreement, in addition to the following additional terms
+
+1. **Free Commercial Use**: Users can use the software for commercial purposes without modifying the code.
+2. **Commercial License Required**: A commercial license is required if any of the following conditions are met:
+   1. You modify, develop, or alter the software, including but not limited to changes to the application name, logo, code, or functionality.
+   2. You provide multi-tenant services to enterprise customers with 10 or more users.
+   3. You pre-install or integrate the software into hardware devices or products and bundle it for sale.
+   4. You are engaging in large-scale procurement for government or educational institutions, especially involving security, data privacy, or other sensitive requirements.
+   
+3. If you need authorization, you can contact WeChat: **xuzeyu91**
+
+If you plan to use AntSK in commercial projects, you need to ensure that you follow the following steps:
+
+1. Copyright statement containing AntSK license. [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file).
+   
+2. If you modify the software source code, you need to clearly indicate these modifications in the source code.
+   
+3. Meet the above requirements  
+
+## 💕 Special thanks
+Helping enterprise AI application development, we recommend [AntBlazor](https://antblazor.com)
+
+## ☎️Contact Me
+If you have any questions or suggestions, please contact me through my official WeChat account. We also have a discussion group where you can send a message to join, and then I will add you to the group.
+
+Additionally, you can also contact me via email: antskpro@qq.com
+
+![Official WeChat Account](https://github.com/AIDotNet/AntSK/blob/main/images/gzh.jpg)
+
+---
+
+We appreciate your interest in **AntSK** and look forward to collaborating with you to create an intelligent future!
--- a/README.md
+++ b/README.md
@@ -1,92 +1,115 @@
-[简体中文](./README.zh.md) | English
+中文|[English](./README.en.md) 
 # AntSK
-## AI Knowledge Base/Intelligent Agent built on .Net8+AntBlazor+SemanticKernel
+## 使用.Net9 + Blazor+SemanticKernel 打造的AI知识库/智能体

-## ⭐Core Features
+## ⭐核心功能

- **Semantic Kernel**: Utilizes advanced natural language processing technology to accurately understand, process, and respond to complex semantic queries, providing users with precise information retrieval and recommendation services.
+- **语义内核 (Semantic Kernel)**：采用领先的自然语言处理技术，准确理解、处理和响应复杂的语义查询，为用户提供精确的信息检索和推荐服务。

- **Kernel Memory**: Capable of continuous learning and storing knowledge points, AntSK has long-term memory function, accumulates experience, and provides a more personalized interaction experience.
+- **内存内核 (Kernel Memory)**：具备持续学习和存储知识点的能力，AntSK 拥有长期记忆功能，累积经验，提供更个性化的交互体验。

- **Knowledge Base**: Import knowledge base through documents (Word, PDF, Excel, Txt, Markdown, Json, PPT) and perform knowledge base Q&A.
+- **知识库**：通过文档（Word、PDF、Excel、Txt、Markdown、Json、PPT）等形式导入知识库，可以进行知识库问答，支持本地bge-embedding 向量模型 ，以及bge-rerank 重排模型。

- **GPT Generation**: This platform supports creating personalized GPT models, enabling users to build their own GPT models.
+- **文生图**：集成**StableDiffusion** 本地模型，可以进行文生图。

- **API Interface Publishing**: Exposes internal functions in the form of APIs, enabling developers to integrate AntSK into other applications and enhance application intelligence.
+- **GPTs 生成**：此平台支持创建个性化的GPT模型，尝试构建您自己的GPT模型。

- **API Plugin System**: Open API plugin system that allows third-party developers or service providers to easily integrate their services into AntSK, continuously enhancing application functionality.
+- **API接口发布**：将内部功能以API的形式对外提供，便于开发者将AntSK 集成进其他应用，增强应用智慧。

- **.Net Plugin System**: Open dll plugin system that allows third-party developers or service providers to easily integrate their business functions by generating dll in standard format code, continuously enhancing application functionality.
+- **API插件系统**：开放式API插件系统，允许第三方开发者或服务商轻松将其服务集成到AntSK，不断增强应用功能。

- **Online Search**: AntSK, real-time access to the latest information, ensuring users receive the most timely and relevant data.
+- **.Net插件系统**：开放式dll插件系统，允许第三方开发者或服务商轻松将其业务功能通过标准格式的代码生成dll后集成到AntSK，不断增强应用功能。

- **Model Management**: Adapts and manages integration of different models from different manufacturers, models offline running supported by **llamafactory** and **ollama**.
+- **联网搜索**：AntSK，实时获取最新信息，确保用户接受到的资料总是最及时、最相关的。

- **Domestic Innovation**: AntSK supports domestic models and databases and can run under domestic innovation conditions.
+- **模型管理**：适配和管理集成不同厂商的不同模型。并且支持**llama.cpp**所支持的gguf类型，以及**llamafactory** 和 **ollama** 所支持的模型离线运行

- **Model Fine-Tuning**: Planned based on llamafactory for model fine-tuning.
+- **国产信创**：AntSK支持国产模型，和国产数据库，可以在信创条件下运行

-## ⛪Application Scenarios
+- **模型微调**：规划中，基于llamafactory进行模型微调
+  

-AntSK is suitable for various business scenarios, such as:
- Enterprise knowledge management system
- Automatic customer service and chatbots
- Enterprise search engine
- Personalized recommendation system
- Intelligent writing assistance
- Education and online learning platforms
- Other interesting AI Apps
+## ⛪应用场景

-## ✏️Function Examples
-### Online Demo
-[document](http://antsk.cn/)
+AntSK 适用于多种业务场景，例如：
+- 企业级知识管理系统
+- 自动客服与聊天机器人
+- 企业级搜索引擎
+- 个性化推荐系统
+- 智能辅助写作
+- 教育与在线学习平台
+- 其他有意思的AI App

-[demo](https://demo.antsk.cn/)
-and
-[demo1](https://antsk.ai-dotnet.com/)
+## ✏️功能示例
+### 在线演示

+[体验地址1](https://demo.antsk.cn/)
+
+和
+
+[体验地址2](https://antsk.ai-dotnet.com/)
 ```
-Default account: test
+默认账号：test

-Default password: test
+默认密码：test

-Due to the low configuration of the cloud server, the local model cannot be run, so the system settings permissions have been closed. You can simply view the interface. If you want to use the local model, please download and use it on your own.
+由于云服务器配置较低，无法运行本地模型，所以把系统设置权限关闭了，大家看看界面即可，要使用本地模型，请下载自行使用
+
+请勿在演示站点上传敏感信息
 ```

-### Other Function Examples
-[Video Demonstration](https://www.bilibili.com/video/BV1zH4y1h7Y9/)
+### 其他功能示例
+[视频示例](https://www.bilibili.com/video/BV1zH4y1h7Y9/)

-## ❓How to get started?
+[在线文档：http://antsk.cn](http://antsk.cn)

-Here I am using Postgres as the data and vector storage because Semantic Kernel and Kernel Memory support it, but you can also use other options.
+## ❓如何开始？

-The model by default supports the local model of openai, azure openai, and llama. If you need to use other models, you can integrate them using one-api.
+在这里我使用的是Postgres 作为数据存储和向量存储，因为Semantic Kernel和Kernel Memory都支持他，当然你也可以换成其他的。

-The Login configuration in the configuration file is the default login account and password.
+模型默认支持openai、azure openai、讯飞星火、阿里云积、 和llama支持的gguf本地模型 以及llamafactory的本地模型,如果需要使用其他模型，可以使用one-api进行集成。

-The following configuration file needs to be configured
+配置文件中的Login配置是默认的登录账号和密码

-## 1️⃣Using docker-compose
+需要配置如下的配置文件

-Provided the pg version **appsettings.json** and simplified version (Sqlite+disk) **docker-compose.simple.yml**
+## 为了方便体验，我已经把打包好的程序放进了网盘，你只需要安装.net8环境即可运行。
+[.net8环境 ](https://dotnet.microsoft.com/zh-cn/download/dotnet/8.0)

-Download **docker-compose.yml** from the project root directory and place the configuration file **appsettings.json** in the same directory.
+[我用夸克网盘分享了「AntSK」](https://pan.quark.cn/s/63ea02e1683e)

-The pg image has already been prepared. You can modify the default username and password in docker-compose.yml, and then the database connection in your **appsettings.json** needs to be consistent.
+下载文件后启动 AntSK.exe  然后会自动打开浏览器
+```
+账号: admin
+密码: admin
+```

-Then you can execute the following command in the directory to start AntSK
+
+[源码深度解读](https://deepwiki.com/AIDotNet/AntSK)
+
+
+## 1️⃣使用docker-compose 
+
+提供了pg版本 **appsettings.json** 和 简化版本（**Sqlite+disk**） **docker-compose.simple.yml**
+
+从项目根目录下载**docker-compose.yml**,然后把配置文件**appsettings.json**和它放在统一目录，
+
+这里已经把pg的镜像做好了。在docker-compose.yml中可以修改默认账号密码，然后你的**appsettings.json**的数据库连接需要保持一致。
+
+然后你可以进入到目录后执行
 ```
 docker-compose up -d
 ```
+来启动AntSK

-## 2️⃣How to mount local models and model download directory in docker
+## 2️⃣如何在docker中挂载本地模型，和模型下载的目录
 ```
-# Non-host version, do not use local proxy
+# 非 host 版本, 不使用本机代理
 version: '3.8'
 services:
  antsk:
    container_name: antsk
-    image: registry.cn-hangzhou.aliyuncs.com/AIDotNet/antsk:v0.5.0
+    image: registry.cn-hangzhou.aliyuncs.com/AIDotNet/antsk:v0.6.0
    ports:
      - 5000:5000
    networks:
@@ -97,32 +120,32 @@ services:
    environment:
      - ASPNETCORE_URLS=http://*:5000
    volumes:
-      - ./appsettings.json:/app/appsettings.json # Local configuration file needs to be placed in the same directory
+      - ./appsettings.json:/app/appsettings.json # 本地配置文件 需要放在同级目录
      - D://model:/app/model
+      - D://model:/root/.cache/modelscope/hub/AI-ModelScope #使用Llamafactory时需要挂载 否则初始化的环境重启后会丢失
 networks:
  antsk:
-    external: true
 ```
-Taking this as an example, it means mounting the local D://model folder of Windows into the container /app/model. If so, the model address in your appsettings.json should be configured as
+以这个为示例，意思是把windows本地D://model的文件夹挂载进 容器内/app/model 如果是这样你的appsettings.json中的模型地址应该配置为  

 [LiteDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.simple.yml)

-The compact version is deployed with sqlite-disk by one click
+精简版使用sqlite+disk向量模式，简化部署配置

 [FullDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.yml)

-The full version uses pg+aspire
+完整版使用pg+aspire 功能更完整，配置文件需要参考如下配置含义进行配置


-## 3️⃣Some meanings of configuration file
+## 3️⃣配置文件的一些含义
 ```
 {
  "DBConnection": {
-    "DbType": "Sqlite",
+    "DbType": "Sqlite", 
    "ConnectionStrings": "Data Source=AntSK.db;"
  },
  "KernelMemory": {
-    "VectorDb": "Disk",
+    "VectorDb": "Disk", 
    "ConnectionString": "Host=;Port=;Database=antsk;Username=;Password=",
    "TableNamePrefix": "km-"
  },
@@ -141,95 +164,90 @@ The full version uses pg+aspire
 }
 ```
 ```
-// Supports various databases, you can check SqlSugar, MySql, SqlServer, Sqlite, Oracle, PostgreSQL, Dm, Kdbndp, Oscar, MySqlConnector, Access, OpenGauss, QuestDB, HG, ClickHouse, GBase, Odbc, OceanBaseForOracle, TDengine, GaussDB, OceanBase, Tidb, Vastbase, PolarDB, Custom
+//支持多种数据库，具体可以查看SqlSugar，MySql，SqlServer，Sqlite，Oracle，PostgreSQL，Dm，Kdbndp，Oscar，MySqlConnector，Access，OpenGauss，QuestDB，HG，ClickHouse，GBase，Odbc，OceanBaseForOracle，TDengine，GaussDB，OceanBase，Tidb，Vastbase，PolarDB，Custom
 DBConnection.DbType
-
-// Connection string, need to use the corresponding string according to the different DB types
+//连接字符串，需要根据不同DB类型，用对应的字符串
 DBConnection.ConnectionStrings

-//The type of vector storage, supporting Postgres, Disk, Memory, Qdrant, Redis, AzureAISearch
-//Postgres and Redis require ConnectionString configuration
-//The ConnectionString of Qdrant and AzureAISearch uses Endpoint | APIKey
+//向量存储的类型，支持  Postgres、Disk、Memory、Qdrant、Redis、AzureAISearch
+//Postgres、Redis需要配置 ConnectionString
+//Qdrant 和AzureAISearch 的 ConnectionString 使用 Endpoint|APIKey  
 KernelMemory.VectorDb

-//Local model path, used for quick selection of models under llama, as well as saving downloaded models.
+//本地模型路径，用于在选择llama时可以快速选择目录下的模型，以及保存下载的模型
 FileDir.DirectoryPath

-//Default admin account password
+//默认管理员账号密码
 Login
-
-//Import asynchronous processing thread count. A higher count can be used for online API, but for local models, 1 is recommended to avoid memory overflow issues.
+//导入异步处理的线程数，使用在线API可以高一点，本地模型建议1 否则容易内存溢出崩掉
 BackgroundTaskBroker.ImportKMSTask.WorkerCount
-
 ```

-## ⚠️Fixing Style Issues:
-Run the following in AntSK/src/AntSK:
+## ⚠️找不到样式问题解决：
+AntSK/src/AntSK下执行:
 ```
 dotnet clean
 dotnet build
 dotnet publish "AntSK.csproj"
 ```
-Then navigate to AntSK/src/AntSK/bin/Release/net8.0/publish and run:
+再去AntSK/src/AntSK/bin/Release/net8.0/publish下
 ```
 dotnet AntSK.dll
 ```
-The styles should now be applied after starting.
+然后启动就有样式了

-I'm using CodeFirst mode for the database, so as long as the database connection is properly configured, the table structure will be created automatically.
+DB我使用的是CodeFirst模式，只要配置好数据库链接，表结构是自动创建的

-## ✔️Using llamafactory
+## ✔️使用llamafactory
 ```
-1. First, ensure that Python and pip are installed in your environment. This step is not necessary if using an image, such as version v0.2.3.2, which already includes the complete Python environment.
-2. Go to the model add page and select llamafactory.
-3. Click "Initialize" to check whether the 'pip install' environment setup is complete.
-4. Choose a model that you like.
-5. Click "Start" to begin downloading the model from the tower. This may involve a somewhat lengthy wait.
-6. After the model has finished downloading, enter http://localhost:8000/ in the request address. The default port is 8000.
-7. Click "Save" and start chatting.
-8. Many people ask about the difference between LLamaSharp and llamafactory. In fact, LLamaSharp is a .NET implementation of llama.cpp, but only supports local gguf models, while llamafactory supports a wider variety of models and uses Python implementation. The main difference lies here. Additionally, llamafactory has the ability to fine-tune models, which is an area we will focus on integrating in the future.
+1、首先需要确保你的环境已经安装了python和pip，如果使用镜像，例如p0.2.4版本已经包含了 python全套环境则无需此步骤
+2、进入模型添加页面选择llamafactory
+3、点击初始化，可以检查pip install 环境是否完成
+4、选择一个喜欢的模型
+5、点击启动,这会开始从魔塔下载模型，你可能需要有一个较为漫长的等待
+6、等待模型下载完毕后，在请求地址输入 http://localhost:8000/   这里默认是使用8000端口
+7、点击保存，然后就可以开始聊天了
+8、很多人会问 LLamaSharp与llamafactory有什么区别？其实这两者LLamaSharp是llama.cpp的 dotnet实现，但是只支持本地gguf模型，  而llamafactory 支持的模型种类更多，但使用的是python的实现，其主要差异在这里，另外llamafactory具有模型微调的能力，这也是我们下一步需要重点集成的部分。
 ```
+
+## 💕 贡献者

-## 💕 Contributors
-
-This project exists thanks to all the people who contribute.
-
+这个项目的存在要感谢所有的贡献者。
+
 <a href="https://github.com/AIDotNet/AntSK/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AIDotNet/AntSK&max=1000&columns=15&anon=1" />
+<img src="https://contrib.rocks/image?repo=AIDotNet/AntSK&max=1000&columns=15&anon=1" />
 </a>
+
+## 🚨 使用协议

-## 🚨  Use Protocol
+本仓库遵循  [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) 开源协议。

-This warehouse follows the [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) open source protocol.
+除以下附加条款外，该项目遵循Apache 2.0协议

-This project follows the Apache 2.0 agreement, in addition to the following additional terms
-
-1. This project can be used for commercial purposes, but it has the right to prohibit you from using it if it violates the following provisions
-
-2. Without authorization, you are not allowed to modify AntSK's logo and title information
+1. **免费商用**：用户在不修改代码的情况下，可以免费用于商业目的。
+2. **商业授权**：如果您满足以下任意条件之一，需取得商业授权：
+   1. 对本软件进行二次修改、开发（包括但不限于修改应用名称、logo、代码以及功能）。
+   2. 为企业客户提供多租户服务，且该服务支持 10 人或以上的使用。
+   3. 预装或集成到硬件设备或产品中进行捆绑销售。
+   4. 政府或教育机构的大规模采购项目，特别是涉及安全、数据隐私等敏感需求时。
   
-4. Without authorization, you are not allowed to modify the copyright information at the bottom of the page
-   
-6. If you need authorization, you can contact WeChat: **xuzeyu91**
+3. 如果您需要授权，可以联系微信：xuzeyu91

-If you plan to use AntSK in commercial projects, you need to ensure that you follow the following steps:
+如果您打算在商业项目中使用AntSK，您需要确保遵守以下步骤：

-1. Copyright statement containing AntSK license. [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file).
-   
-2. If you modify the software source code, you need to clearly indicate these modifications in the source code.
-   
-3. Meet the above requirements  
+1. 包含AntSK许可证的版权声明。 [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) 。

-## 💕 Special thanks
-Helping enterprise AI application development, we recommend [AntBlazor](https://antblazor.com)
+2. 如果您修改了软件源代码，您需要在源代码中明确标明这些修改。

-## ☎️Contact Me
-If you have any questions or suggestions, please contact me through my official WeChat account. We also have a discussion group where you can send a message to join, and then I will add you to the group.
+3. 满足以上要求

-Additionally, you can also contact me via email: antskpro@qq.com
+## 💕 特别感谢
+助力企业级AI应用开发，推荐使用 [AntBlazor](https://antblazor.com)

-![Official WeChat Account](https://github.com/AIDotNet/AntSK/blob/main/images/gzh.jpg)

---
+## ☎️联系我
+如有任何问题或建议，请通过以下方式关注我的公众号《许泽宇的技术分享》，发消息与我联系，我们也有AIDotnet交流群，可以发送进群等消息，然后我会拉你进交流群

-We appreciate your interest in **AntSK** and look forward to collaborating with you to create an intelligent future!
+另外您也可以通过邮箱与我联系：antskpro@qq.com
+
+![公众号](https://github.com/AIDotNet/AntSK/blob/main/images/gzh.jpg)
--- a/README.zh.md
+++ b/README.zh.md
@@ -1,253 +0,0 @@
-中文|[English](./README.md) 
-# AntSK
-## 使用.Net8+Blazor+SemanticKernel 打造的AI知识库/智能体
-
-## ⭐核心功能
-
- **语义内核 (Semantic Kernel)**：采用领先的自然语言处理技术，准确理解、处理和响应复杂的语义查询，为用户提供精确的信息检索和推荐服务。
-
- **内存内核 (Kernel Memory)**：具备持续学习和存储知识点的能力，AntSK 拥有长期记忆功能，累积经验，提供更个性化的交互体验。
-
- **知识库**：通过文档（Word、PDF、Excel、Txt、Markdown、Json、PPT）等形式导入知识库，可以进行知识库问答，支持本地bge-embedding 向量模型 ，以及bge-rerank 重排模型。
-
- **文生图**：集成**StableDiffusion** 本地模型，可以进行文生图。
-
- **GPTs 生成**：此平台支持创建个性化的GPT模型，尝试构建您自己的GPT模型。
-
- **API接口发布**：将内部功能以API的形式对外提供，便于开发者将AntSK 集成进其他应用，增强应用智慧。
-
- **API插件系统**：开放式API插件系统，允许第三方开发者或服务商轻松将其服务集成到AntSK，不断增强应用功能。
-
- **.Net插件系统**：开放式dll插件系统，允许第三方开发者或服务商轻松将其业务功能通过标准格式的代码生成dll后集成到AntSK，不断增强应用功能。
-
- **联网搜索**：AntSK，实时获取最新信息，确保用户接受到的资料总是最及时、最相关的。
-
- **模型管理**：适配和管理集成不同厂商的不同模型。并且支持**llama.cpp**所支持的gguf类型，以及**llamafactory** 和 **ollama** 所支持的模型离线运行
-
- **国产信创**：AntSK支持国产模型，和国产数据库，可以在信创条件下运行
-
- **模型微调**：规划中，基于llamafactory进行模型微调
-  
-
-## ⛪应用场景
-
-AntSK 适用于多种业务场景，例如：
- 企业级知识管理系统
- 自动客服与聊天机器人
- 企业级搜索引擎
- 个性化推荐系统
- 智能辅助写作
- 教育与在线学习平台
- 其他有意思的AI App
-
-## ✏️功能示例
-### 在线演示
-
-[体验地址1](https://demo.antsk.cn/)
-
-和
-
-[体验地址2](https://antsk.ai-dotnet.com/)
-```
-默认账号：test
-
-默认密码：test
-
-由于云服务器配置较低，无法运行本地模型，所以把系统设置权限关闭了，大家看看界面即可，要使用本地模型，请下载自行使用
-
-请勿在演示站点上传敏感信息
-```
-
-### 其他功能示例
-[视频示例](https://www.bilibili.com/video/BV1zH4y1h7Y9/)
-
-[在线文档：http://antsk.cn](http://antsk.cn)
-
-## ❓如何开始？
-
-在这里我使用的是Postgres 作为数据存储和向量存储，因为Semantic Kernel和Kernel Memory都支持他，当然你也可以换成其他的。
-
-模型默认支持openai、azure openai、讯飞星火、阿里云积、 和llama支持的gguf本地模型 以及llamafactory的本地模型,如果需要使用其他模型，可以使用one-api进行集成。
-
-配置文件中的Login配置是默认的登录账号和密码
-
-需要配置如下的配置文件
-
-## 为了方便体验，我已经把打包好的程序放进了网盘，你只需要安装.net8环境即可运行。
-[.net8环境 ](https://dotnet.microsoft.com/zh-cn/download/dotnet/8.0)
-
-[我用夸克网盘分享了「AntSK」](https://pan.quark.cn/s/9462c849cbad)
-
-
-## 1️⃣使用docker-compose 
-
-提供了pg版本 **appsettings.json** 和 简化版本（**Sqlite+disk**） **docker-compose.simple.yml**
-
-从项目根目录下载**docker-compose.yml**,然后把配置文件**appsettings.json**和它放在统一目录，
-
-这里已经把pg的镜像做好了。在docker-compose.yml中可以修改默认账号密码，然后你的**appsettings.json**的数据库连接需要保持一致。
-
-然后你可以进入到目录后执行
-```
-docker-compose up -d
-```
-来启动AntSK
-
-## 2️⃣如何在docker中挂载本地模型，和模型下载的目录
-```
-# 非 host 版本, 不使用本机代理
-version: '3.8'
-services:
-  antsk:
-    container_name: antsk
-    image: registry.cn-hangzhou.aliyuncs.com/AIDotNet/antsk:v0.3.1
-    ports:
-      - 5000:5000
-    networks:
-      - antsk
-    depends_on:
-      - antskpg
-    restart: always
-    environment:
-      - ASPNETCORE_URLS=http://*:5000
-    volumes:
-      - ./appsettings.json:/app/appsettings.json # 本地配置文件 需要放在同级目录
-      - D://model:/app/model
-      - D://model:/root/.cache/modelscope/hub/AI-ModelScope #使用Llamafactory时需要挂载 否则初始化的环境重启后会丢失
-networks:
-  antsk:
-```
-以这个为示例，意思是把windows本地D://model的文件夹挂载进 容器内/app/model 如果是这样你的appsettings.json中的模型地址应该配置为  
-
-[LiteDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.simple.yml)
-
-精简版使用sqlite+disk向量模式，简化部署配置
-
-[FullDockerCompose](https://github.com/AIDotNet/AntSK/blob/main/docker-compose.yml)
-
-完整版使用pg+aspire 功能更完整，配置文件需要参考如下配置含义进行配置
-
-
-## 3️⃣配置文件的一些含义
-```
-{
-  "DBConnection": {
-    "DbType": "Sqlite", 
-    "ConnectionStrings": "Data Source=AntSK.db;"
-  },
-  "KernelMemory": {
-    "VectorDb": "Disk", 
-    "ConnectionString": "Host=;Port=;Database=antsk;Username=;Password=",
-    "TableNamePrefix": "km-"
-  },
-  "FileDir": {
-    "DirectoryPath": "D:\\git\\AntBlazor\\model"
-  },
-  "Login": {
-    "User": "admin",
-    "Password": "xuzeyu"
-  },
-  "BackgroundTaskBroker": {
-    "ImportKMSTask": {
-      "WorkerCount": 1 
-    }
-  }
-}
-```
-```
-//支持多种数据库，具体可以查看SqlSugar，MySql，SqlServer，Sqlite，Oracle，PostgreSQL，Dm，Kdbndp，Oscar，MySqlConnector，Access，OpenGauss，QuestDB，HG，ClickHouse，GBase，Odbc，OceanBaseForOracle，TDengine，GaussDB，OceanBase，Tidb，Vastbase，PolarDB，Custom
-DBConnection.DbType
-//连接字符串，需要根据不同DB类型，用对应的字符串
-DBConnection.ConnectionStrings
-
-//向量存储的类型，支持  Postgres、Disk、Memory、Qdrant、Redis、AzureAISearch
-//Postgres、Redis需要配置 ConnectionString
-//Qdrant 和AzureAISearch 的 ConnectionString 使用 Endpoint|APIKey  
-KernelMemory.VectorDb
-
-//本地模型路径，用于在选择llama时可以快速选择目录下的模型，以及保存下载的模型
-FileDir.DirectoryPath
-
-//默认管理员账号密码
-Login
-//导入异步处理的线程数，使用在线API可以高一点，本地模型建议1 否则容易内存溢出崩掉
-BackgroundTaskBroker.ImportKMSTask.WorkerCount
-```
-
-## ⚠️找不到样式问题解决：
-AntSK/src/AntSK下执行:
-```
-dotnet clean
-dotnet build
-dotnet publish "AntSK.csproj"
-```
-再去AntSK/src/AntSK/bin/Release/net8.0/publish下
-```
-dotnet AntSK.dll
-```
-然后启动就有样式了
-
-DB我使用的是CodeFirst模式，只要配置好数据库链接，表结构是自动创建的
-
-## ✔️使用llamafactory
-```
-1、首先需要确保你的环境已经安装了python和pip，如果使用镜像，例如p0.2.4版本已经包含了 python全套环境则无需此步骤
-2、进入模型添加页面选择llamafactory
-3、点击初始化，可以检查pip install 环境是否完成
-4、选择一个喜欢的模型
-5、点击启动,这会开始从魔塔下载模型，你可能需要有一个较为漫长的等待
-6、等待模型下载完毕后，在请求地址输入 http://localhost:8000/   这里默认是使用8000端口
-7、点击保存，然后就可以开始聊天了
-8、很多人会问 LLamaSharp与llamafactory有什么区别？其实这两者LLamaSharp是llama.cpp的 dotnet实现，但是只支持本地gguf模型，  而llamafactory 支持的模型种类更多，但使用的是python的实现，其主要差异在这里，另外llamafactory具有模型微调的能力，这也是我们下一步需要重点集成的部分。
-```
-
-## 💕 贡献者
-
-这个项目的存在要感谢所有的贡献者。
-
-<a href="https://github.com/AIDotNet/AntSK/graphs/contributors">
-<img src="https://contrib.rocks/image?repo=AIDotNet/AntSK&max=1000&columns=15&anon=1" />
-</a>
-
-## 🚨 使用协议
-
-本仓库遵循  [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) 开源协议。
-
-除以下附加条款外，该项目遵循Apache 2.0协议
-
-1. 本项目可以用于商业目的，但如果违反以下规定，它有权禁止您使用
-   
-2. 未经授权，您不允许修改AntSK的徽标和标题信息
-   
-3. 未经授权，您不能修改页面底部的版权信息
-   
-4. 如果您需要授权，可以联系微信：xuzeyu91
-
-如果您打算在商业项目中使用AntSK，您需要确保遵守以下步骤：
-
-1. 包含AntSK许可证的版权声明。 [AntSK License](https://github.com/AIDotNet/AntSK?tab=Apache-2.0-1-ov-file) 。
-
-2. 如果您修改了软件源代码，您需要在源代码中明确标明这些修改。
-
-3. 满足以上要求
-
-## 💕 特别感谢
-助力企业级AI应用开发，推荐使用 [AntBlazor](https://antblazor.com)
-
-
-## ☎️联系我
-如有任何问题或建议，请通过以下方式关注我的公众号《许泽宇的技术分享》，发消息与我联系，我们也有AIDotnet交流群，可以发送进群等消息，然后我会拉你进交流群
-
-另外您也可以通过邮箱与我联系：antskpro@qq.com
-
-![公众号](https://github.com/AIDotNet/AntSK/blob/main/images/gzh.jpg)
-
-## 🌟 Star History
-<a href="https://github.com/AIDotNet/AntSK/stargazers" target="_blank" style="display: block" align="center">
-  <picture>
-    <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=AIDotNet/AntSK&type=Date&theme=dark" />
-    <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=AIDotNet/AntSK&type=Date" />
-    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=AIDotNet/AntSK&type=Date" />
-  </picture>
-</a>
-
--- a/docker-compose.simple.yml
+++ b/docker-compose.simple.yml
@@ -3,9 +3,9 @@ version: '3.8'
 services:
  antsk:
    container_name: antsk
-    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:v0.5.5
+    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:v0.6.3
    # 如果需要pytorch环境需要使用下面这个镜像，镜像比较大
-    # image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:p0.5.5
+    # image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:p0.6.3
    ports:
      - 5000:5000
    networks:
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -16,7 +16,7 @@ services:
      - 18889:18889
    restart: unless-stopped
  antskpg:
-    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/pg:v0.5.0 
+    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/pg:v0.5.0
    container_name: antskpg
    restart: always
    ports: # 生产环境建议不要暴露
@@ -32,9 +32,9 @@ services:
      - ./pg/data:/var/lib/postgresql/data
  antsk:
    container_name: antsk
-    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:v0.5.5
+    image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:v0.6.3
    # 如果需要pytorch环境需要使用下面这个镜像，镜像比较大
-    # image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:p0.5.5
+    # image: registry.cn-hangzhou.aliyuncs.com/xuzeyu91/antsk:p0.6.3
    ports:
      - 5000:5000
    networks:
--- a/src/AntSK.Domain/AntSK.Domain.csproj
+++ b/src/AntSK.Domain/AntSK.Domain.csproj
@@ -1,27 +1,27 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
    <DocumentationFile>AntSK.Domain.xml</DocumentationFile>
    <NoWarn>CA1050,CA1707,CA2007,VSTHRD111,CS1591,RCS1110,CA5394,SKEXP0001,SKEXP0002,SKEXP0003,SKEXP0004,SKEXP0010,SKEXP0011,,SKEXP0012,SKEXP0020,SKEXP0021,SKEXP0022,SKEXP0023,SKEXP0024,SKEXP0025,SKEXP0026,SKEXP0027,SKEXP0028,SKEXP0029,SKEXP0030,SKEXP0031,SKEXP0032,SKEXP0040,SKEXP0041,SKEXP0042,SKEXP0050,SKEXP0051,SKEXP0052,SKEXP0053,SKEXP0054,SKEXP0055,SKEXP0060,SKEXP0061,SKEXP0101,SKEXP0102,KMEXP00</NoWarn>
  </PropertyGroup>
  <ItemGroup>
-    <PackageReference Include="AntDesign.Charts" Version="0.5.6" />
-    <PackageReference Include="AntDesign.ProLayout" Version="0.20.3" />
+    <PackageReference Include="AntDesign.Charts" Version="0.6.0" />
+    <PackageReference Include="AntDesign.ProLayout" Version="1.0.1" />
    <PackageReference Include="BlazorComponents.Terminal" Version="0.6.0" />
    <PackageReference Include="Blazored.LocalStorage" Version="4.5.0" />
  
-    <PackageReference Include="pythonnet" Version="3.0.4" />
-   
-    <PackageReference Include="Swashbuckle.AspNetCore" Version="6.9.0" />
+    <PackageReference Include="pythonnet" Version="3.0.5" />
+
+    <PackageReference Include="Swashbuckle.AspNetCore" Version="7.3.1" />
    
    <PackageReference Include="AutoMapper" Version="8.1.0" />
    <PackageReference Include="BCrypt.Net-Next" Version="4.0.3" />
-    <PackageReference Include="Markdig" Version="0.37.0" />
+    <PackageReference Include="Markdig" Version="0.41.1" />
    <PackageReference Include="Newtonsoft.Json" Version="$(NewtonsoftVersion)" />
-    <PackageReference Include="SqlSugarCore" Version="5.1.4.169" />
+    <PackageReference Include="SqlSugarCore" Version="5.1.4.187" />
    <PackageReference Include="System.Data.SQLite.Core" Version="1.0.119" />
    <PackageReference Include="RestSharp" Version="$(RestSharpVersion)" />
    <PackageReference Include="NPOI" Version="2.7.1" />
--- a/src/AntSK.Domain/Domain/Interface/IChatService.cs
+++ b/src/AntSK.Domain/Domain/Interface/IChatService.cs
@@ -17,7 +17,6 @@ namespace AntSK.Domain.Domain.Interface
        IAsyncEnumerable<string> SendChatByAppAsync(Apps app, ChatHistory history);

        IAsyncEnumerable<StreamingKernelContent> SendKmsByAppAsync(Apps app, string questions, ChatHistory history, string filePath, List<RelevantSource> relevantSources = null);
-        Task<string> SendImgByAppAsync(Apps app, string questions);
        Task<ChatHistory> GetChatHistory(List<Chats> MessageList, ChatHistory history);
    }
 }
--- a/src/AntSK.Domain/Domain/Interface/IOllamaService.cs
+++ b/src/AntSK.Domain/Domain/Interface/IOllamaService.cs
@@ -10,6 +10,6 @@ namespace AntSK.Domain.Domain.Interface
    public interface IOllamaService
    {
        public event LogMessageHandler LogMessageReceived;
-        Task StartOllama(string modelName);
+        Task OllamaPull(string modelName);
    }
 }
--- a/src/AntSK.Domain/Domain/Model/Enum/AppType.cs
+++ b/src/AntSK.Domain/Domain/Model/Enum/AppType.cs
@@ -10,6 +10,5 @@ namespace AntSK.Domain.Domain.Model.Enum
    {
        chat = 1,
        kms = 2,
-        img=3
    }
 }
--- a/src/AntSK.Domain/Domain/Other/Bge/BegRerankConfig.cs
+++ b/src/AntSK.Domain/Domain/Other/Bge/BegRerankConfig.cs
@@ -75,14 +75,10 @@ namespace AntSK.Domain.Domain.Other.Bge
                    }
                    PyObject result = model.compute_score(pyList, normalize: true);

-                    //BAAI/bge-reranker-v2-minicpm-layerwise
-                    // https://www.modelscope.cn/models/AI-ModelScope/bge-reranker-v2-m3
-
-                    //PyList cutoffLayers = new PyList();
-                    //cutoffLayers.Append(new PyInt(8));
-                    //dynamic scores = model.compute_score(pyList, cutoff_layers: cutoffLayers);
-
-                    return result.ConvertToDouble();
+                    var res = result.ToString();
+                    var res1 = res.Replace("[", "").Replace("]", "").ConvertToDouble();
+             
+                    return res1;
                }
                catch (Exception ex)
                {
--- a/src/AntSK.Domain/Domain/Service/ChatService.cs
+++ b/src/AntSK.Domain/Domain/Service/ChatService.cs
@@ -229,112 +229,6 @@ namespace AntSK.Domain.Domain.Service
        }


-        public async Task<string> SendImgByAppAsync(Apps app, string questions)
-        {
-            var imageModel = _aIModels_Repositories.GetFirst(p => p.Id == app.ImageModelID);
-            KernelArguments args = new() {
-                { "input", questions }
-            };
-            var _kernel = _kernelService.GetKernelByApp(app);
-            var temperature = app.Temperature / 100; //存的是0~100需要缩小
-            OpenAIPromptExecutionSettings settings = new() { Temperature = temperature };
-            var func = _kernel.CreateFunctionFromPrompt("Translate this into English:{{$input}}", settings);
-            var chatResult = await _kernel.InvokeAsync(function: func, arguments: args);
-            if (chatResult.IsNotNull())
-            {
-                //Can Load stable-diffusion library in diffenert environment
-
-                //SDHelper.LoadLibrary()
-                string versionString = string.Empty;
-                string extensionString = string.Empty;
-                if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows))
-                {
-                    extensionString = ".dll";
-                }
-                else if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux))
-                {
-                    extensionString = ".so";
-                }
-                else
-                {
-                    throw new InvalidOperationException("OS Platform no support");
-                }
-
-                ProcessStartInfo startInfo = new ProcessStartInfo("nvcc", "--version");
-                startInfo.RedirectStandardOutput = true;
-                startInfo.UseShellExecute = false;
-                startInfo.CreateNoWindow = true;
-                using (Process process = Process.Start(startInfo))
-                {
-                    if (process != null)
-                    {
-                        string result = process.StandardOutput.ReadToEnd();
-                        Regex regex = new Regex(@"release (\d+).[\d]");
-                        Match match = regex.Match(result);
-                        if (match.Success)
-                        {
-                            switch (match.Groups[1].Value.ToString())
-                            {
-                                case "11":
-                                    versionString = "Cuda11";
-                                    break;
-                                case "12":
-                                    versionString = "Cuda12";
-                                    break;
-                                default:
-                                    versionString = "CPU";
-                                    break;
-                            }
-                        }
-                    }
-                    else
-                    {
-                        throw new Exception("nvcc get an error");
-                    }
-                }
-
-                string libraryPath = System.IO.Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "StableDiffusion", "Backend", versionString, "stable-diffusion" + extensionString);
-                NativeLibrary.TryLoad(libraryPath, out _);
-                string prompt = chatResult.GetValue<string>();
-                if (!SDHelper.IsInitialized)
-                {
-                    Structs.ModelParams modelParams = new Structs.ModelParams
-                    {
-                        ModelPath = imageModel.ModelName,
-                        RngType = Structs.RngType.CUDA_RNG,
-                        //VaePath = vaePath,
-                        //KeepVaeOnCpu = keepVaeOnCpu,
-                        //set false can get a better image, otherwise can use lower vram
-                        VaeTiling = false,
-                        //LoraModelDir = loraModelDir,
-                    };
-                    bool result = SDHelper.Initialize(modelParams);
-                }
-
-                Structs.TextToImageParams textToImageParams = new Structs.TextToImageParams
-                {
-                    Prompt = prompt,
-                    NegativePrompt = "bad quality, wrong image, worst quality",
-                    SampleMethod = (Structs.SampleMethod)Enum.Parse(typeof(Structs.SampleMethod), "EULER_A"),
-                    //the base image size in SD1.5 is 512x512
-                    Width = 512,
-                    Height = 512,
-                    NormalizeInput = true,
-                    ClipSkip = -1,
-                    CfgScale = 7,
-                    SampleSteps = 20,
-                    Seed = -1,
-                };
-                Bitmap[] outputImages = SDHelper.TextToImage(textToImageParams);
-                var base64 = ImageUtils.BitmapToBase64(outputImages[0]);
-                return base64;
-            }
-            else
-            {
-                return "";
-            }
-        }
-
        public async Task<ChatHistory> GetChatHistory(List<Chats> MessageList, ChatHistory history)
        {
            foreach (var item in MessageList)
--- a/src/AntSK.Domain/Domain/Service/KernelService.cs
+++ b/src/AntSK.Domain/Domain/Service/KernelService.cs
@@ -102,21 +102,21 @@ namespace AntSK.Domain.Domain.Service

                    var settings = chatModel.ModelKey.Split("|");

-                    Sdcb.SparkDesk.ModelVersion modelVersion = Sdcb.SparkDesk.ModelVersion.V3_5;
+                    Sdcb.SparkDesk.ModelVersion modelVersion = Sdcb.SparkDesk.ModelVersion.Lite;

                    switch (chatModel.ModelName)
                    {
-                        case "V3_5":
-                            modelVersion = Sdcb.SparkDesk.ModelVersion.V3_5;
+                        case "Max":
+                            modelVersion = Sdcb.SparkDesk.ModelVersion.Max;
                            break;
-                        case "V3":
-                            modelVersion = Sdcb.SparkDesk.ModelVersion.V3;
+                        case "Pro":
+                            modelVersion = Sdcb.SparkDesk.ModelVersion.Pro;
                            break;
                        case "V2":
-                            modelVersion = Sdcb.SparkDesk.ModelVersion.V2;
+                            modelVersion = Sdcb.SparkDesk.ModelVersion.V2_0;
                            break;
-                        case "V1_5":
-                            modelVersion = Sdcb.SparkDesk.ModelVersion.V1_5;
+                        case "Lite":
+                            modelVersion = Sdcb.SparkDesk.ModelVersion.Lite;
                            break;
                    }

--- a/src/AntSK.Domain/Domain/Service/OllamaService.cs
+++ b/src/AntSK.Domain/Domain/Service/OllamaService.cs
@@ -22,7 +22,7 @@ namespace AntSK.Domain.Domain.Service
            LogMessageReceived?.Invoke(message);
        }

-        public async Task StartOllama(string modelName)
+        public async Task OllamaPull(string modelName)
        {
            Console.OutputEncoding = Encoding.UTF8;
            var cmdTask = Task.Factory.StartNew(() =>
@@ -35,7 +35,7 @@ namespace AntSK.Domain.Domain.Service
                    StartInfo = new ProcessStartInfo
                    {
                        FileName = "ollama",
-                        Arguments = "run " + modelName,
+                        Arguments = "pull " + modelName,
                        UseShellExecute = false,
                        RedirectStandardOutput = true,
                        RedirectStandardError = true,
--- a/src/AntSK.LLM/AntSK.LLM.csproj
+++ b/src/AntSK.LLM/AntSK.LLM.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
@@ -11,9 +11,9 @@
    <PackageReference Include="Newtonsoft.Json" Version="$(NewtonsoftVersion)" />
    <PackageReference Include="RestSharp" Version="$(RestSharpVersion)" />
    <PackageReference Include="Cnblogs.KernelMemory.AI.DashScope" Version="0.3.0" />
-    <PackageReference Include="Cnblogs.SemanticKernel.Connectors.DashScope" Version="0.3.2" />
-    <PackageReference Include="Sdcb.SparkDesk" Version="3.0.0" />
-    <PackageReference Include="System.Drawing.Common" Version="8.0.0" />
+    <PackageReference Include="Cnblogs.SemanticKernel.Connectors.DashScope" Version="0.4.0" />
+    <PackageReference Include="Sdcb.SparkDesk" Version="3.1.0" />
+    <PackageReference Include="System.Drawing.Common" Version="$(NetVersion)" />
  </ItemGroup>

  <ItemGroup>
--- a/src/AntSK.LLM/OllamaEmbeddingModelList.txt
+++ b/src/AntSK.LLM/OllamaEmbeddingModelList.txt
@@ -9,4 +9,4 @@ snowflake-arctic-embed:137m
 snowflake-arctic-embed:335m
 bge-m3
 bge-large:335m
-paraphrase-multilingual:278m
+paraphrase-multilingual:278m
--- a/src/AntSK.LLM/OllamaModelList.txt
+++ b/src/AntSK.LLM/OllamaModelList.txt
@@ -108,4 +108,4 @@ llama-pro:instruct
 everythinglm:13b
 llava-phi3:3.8b
 mistrallite:7b
-notus:7b
+notus:7b
--- a/src/AntSK.LLamaFactory/AntSK.LLamaFactory.csproj
+++ b/src/AntSK.LLamaFactory/AntSK.LLamaFactory.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
--- a/src/AntSK.LLamaFactory/requirements.txt
+++ b/src/AntSK.LLamaFactory/requirements.txt
@@ -17,7 +17,7 @@ fire
 modelscope
 langchain-community
 sentence_transformers
-FlagEmbedding
+flagembedding
 packaging
 pyyaml
 trl>=0.8.6
--- a/src/AntSK.OCR/AntSK.OCR.csproj
+++ b/src/AntSK.OCR/AntSK.OCR.csproj
@@ -1,19 +1,19 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
  <ItemGroup>
    <PackageReference Include="Microsoft.KernelMemory.Core" Version="$(KMVersion)" />
-    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.9.0.20240103" />
+    <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.10.0.20241108" />
    <PackageReference Include="Sdcb.OpenCvSharp4.mini.runtime.debian.12-x64" Version="4.8.0.20231125" />
-    <PackageReference Include="Sdcb.OpenVINO" Version="0.6.6" />
+    <PackageReference Include="Sdcb.OpenVINO" Version="0.6.10" />
    <PackageReference Include="Sdcb.OpenVINO.PaddleOCR.Models.Online" Version="0.6.2" />
-    <PackageReference Include="Sdcb.OpenVINO.PaddleOCR" Version="0.6.3" />
-    <PackageReference Include="Sdcb.OpenVINO.runtime.ubuntu.22.04-x64" Version="2024.2.0" />
-    <PackageReference Include="Sdcb.OpenVINO.runtime.win-x64" Version="2024.2.0" />
+    <PackageReference Include="Sdcb.OpenVINO.PaddleOCR" Version="0.6.8" />
+    <PackageReference Include="Sdcb.OpenVINO.runtime.ubuntu.22.04-x64" Version="2025.0.0" />
+    <PackageReference Include="Sdcb.OpenVINO.runtime.win-x64" Version="2025.0.0" />
    
  </ItemGroup>
 </Project>
--- a/src/AntSK.Test/AntSK.Test.csproj
+++ b/src/AntSK.Test/AntSK.Test.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>
--- a/src/AntSK/AntSK.csproj
+++ b/src/AntSK/AntSK.csproj
@@ -1,7 +1,7 @@
 <Project Sdk="Microsoft.NET.Sdk.Web">

  <PropertyGroup>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
    <Nullable>enable</Nullable>
    <ImplicitUsings>enable</ImplicitUsings>
    <DocumentationFile>AntSK.xml</DocumentationFile>
@@ -19,11 +19,11 @@
    <Content Include="AntSKlogo.ico" />
  </ItemGroup>
  <ItemGroup>
-    <PackageReference Include="Microsoft.AspNetCore.Authorization" Version="8.0.6" />
-    <PackageReference Include="Microsoft.AspNetCore.Components.Authorization" Version="8.0.6" />
-    <PackageReference Include="Microsoft.AspNetCore.Components.WebAssembly.Authentication" Version="8.0.6" />
-    <PackageReference Include="System.Net.Http.Json" Version="8.0.0" />
-    <PackageReference Include="Downloader" Version="3.0.6" />
+    <PackageReference Include="Microsoft.AspNetCore.Authorization" Version="$(NetVersion)" />
+    <PackageReference Include="Microsoft.AspNetCore.Components.Authorization" Version="$(NetVersion)" />
+    <PackageReference Include="Microsoft.AspNetCore.Components.WebAssembly.Authentication" Version="$(NetVersion)" />
+    <PackageReference Include="System.Net.Http.Json" Version="$(NetVersion)" />
+    <PackageReference Include="Downloader" Version="3.3.4" />
  </ItemGroup>

  <ItemGroup>
--- a/src/AntSK/Pages/AppPage/AddApp.razor
+++ b/src/AntSK/Pages/AppPage/AddApp.razor
@@ -27,7 +27,6 @@
                    <RadioGroup @bind-Value="context.Type" OnChange="OnAppTypeChange" TValue="string" ButtonStyle="RadioButtonStyle.Solid">
                        <Radio RadioButton Value="@AppType.chat.ToString()">会话应用</Radio>
                        <Radio RadioButton Value="@AppType.kms.ToString()">知识库</Radio>
-                        <Radio RadioButton Value="@AppType.img.ToString()">做图应用</Radio>
                    </RadioGroup>
                </FormItem>
                <FormItem Label="描述" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
@@ -42,25 +41,24 @@
                    </Select>
                    <Button Type="@ButtonType.Link" OnClick="NavigateModelList">去创建</Button>
                </FormItem>
-                @if (@context.Type != AppType.img.ToString())
-                {
-                    <FormItem Label="向量模型" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
-                        <Select DataSource="@_embedingList"
-                                @bind-Value="@context.EmbeddingModelID"
-                                ValueProperty="c=>c.Id"
-                                LabelProperty="c=>'【'+c.AIType.ToString()+'】'+c.ModelDescription">
-                        </Select>
-                        <Button Type="@ButtonType.Link" OnClick="NavigateModelList">去创建</Button>
-                    </FormItem>
-                    <FormItem Label="提示词" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
-                        <TextArea MinRows="4" Placeholder="请输入角色信息" @bind-Value="@context.Prompt" />
-                    </FormItem>
-                    <FormItem Label="温度系数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
-                        <span>更确定</span>
-                        <Slider TValue="double" Style="display: inline-block;width: 300px; " Min="0" Max="100" DefaultValue="70" @bind-Value="@context.Temperature" />
-                        <span>更发散</span>
-                    </FormItem>
-                }
+              
+                <FormItem Label="向量模型" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
+                    <Select DataSource="@_embedingList"
+                            @bind-Value="@context.EmbeddingModelID"
+                            ValueProperty="c=>c.Id"
+                            LabelProperty="c=>'【'+c.AIType.ToString()+'】'+c.ModelDescription">
+                    </Select>
+                    <Button Type="@ButtonType.Link" OnClick="NavigateModelList">去创建</Button>
+                </FormItem>
+                <FormItem Label="提示词" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
+                    <TextArea MinRows="4" Placeholder="请输入角色信息" @bind-Value="@context.Prompt" />
+                </FormItem>
+                <FormItem Label="温度系数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
+                    <span>更确定</span>
+                    <Slider TValue="double" Style="display: inline-block;width: 300px; " Min="0" Max="100" DefaultValue="70" @bind-Value="@context.Temperature" />
+                    <span>更发散</span>
+                </FormItem>
+                
                @if (@context.Type == AppType.chat.ToString())
                {
                    <FormItem Label="API插件列表" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
--- a/src/AntSK/Pages/AppPage/AppList.razor
+++ b/src/AntSK/Pages/AppPage/AppList.razor
@@ -59,10 +59,6 @@
                                        <Tag Color="@PresetColor.Green.ToString()">知识库</Tag>
                                        
                                    }
-                                    else if (context.Type == AppType.img.ToString())
-                                    {
-                                        <Tag Color="@PresetColor.Red.ToString()">做图应用</Tag>
-                                    }
                                </DescriptionTemplate>
                            </CardMeta>
                        </Card>
--- a/src/AntSK/Pages/ChatPage/Chat.razor.cs
+++ b/src/AntSK/Pages/ChatPage/Chat.razor.cs
@@ -26,6 +26,10 @@ namespace AntSK.Pages.ChatPage
        {
            await base.OnInitializedAsync();
            _list = _apps_Repositories.GetList();
+            if (string.IsNullOrEmpty(AppId)&&_list.Count>0)
+            {
+                AppId = _list.FirstOrDefault().Id;
+            }
        }

        private void OnRelevantSources(List<RelevantSource> relevantSources)
--- a/src/AntSK/Pages/ChatPage/Components/ChatView.razor
+++ b/src/AntSK/Pages/ChatPage/Components/ChatView.razor
@@ -130,6 +130,12 @@
    .think {
        color: gray;
        font-style: italic;
+        text-align: left !important;
+        display: block;
+        margin-top: 5px;
+        margin-left: 8px;
+        padding-left: 8px;
+        border-left: 2px solid #7F7FFF;
    }
 </style>

--- a/src/AntSK/Pages/ChatPage/Components/ChatView.razor.cs
+++ b/src/AntSK/Pages/ChatPage/Components/ChatView.razor.cs
@@ -264,48 +264,17 @@ namespace AntSK.Pages.ChatPage.Components
                await SendKms(questions, history, app, filePath);

            }
-            else if (app.Type == AppType.img.ToString())
+
+
+            await SaveMsg(MessageList);
+            if (OnRelevantSources.IsNotNull())
            {
-                await SendImg(questions, app);
+                await OnRelevantSources.InvokeAsync(_relevantSources);
            }

-            //缓存消息记录
-            if (app.Type != AppType.img.ToString())
-            {
-                await SaveMsg(MessageList);
-                if (OnRelevantSources.IsNotNull())
-                {
-                    await OnRelevantSources.InvokeAsync(_relevantSources);
-                }
-            }
            return true;
        }

-        /// <summary>
-        /// 发送图片对话
-        /// </summary>
-        /// <param name="questions"></param>
-        /// <param name="app"></param>
-        /// <returns></returns>
-        private async Task SendImg(string questions,Apps app)
-        {
-            Chats info = new Chats();
-            info.Id = Guid.NewGuid().ToString();
-            info.UserName=_userName;
-            info.AppId=AppId;
-            info.CreateTime = DateTime.Now;
-            var base64= await _chatService.SendImgByAppAsync(app, questions);
-            if (string.IsNullOrEmpty(base64))
-            {
-                info.Context = "生成失败";
-            }
-            else 
-            {
-                info.Context = $"<img src=\"data:image/jpeg;base64,{base64}\" alt=\"Base64 Image\" />";
-            }
-            MessageList.Add(info);
-        }
-
        /// <summary>
        /// 发送知识库问答
        /// </summary>
--- a/src/AntSK/Pages/Index.razor
+++ b/src/AntSK/Pages/Index.razor
@@ -68,111 +68,142 @@
            </AntDesign.Col>
        </Row>
        <Divider><Title Level="3">功能特性</Title></Divider>
-        <Space Size=@(("10", "10" )) Wrap Align="start" Style="padding:10px">
+    <Space Size=@(("10", "10" )) Wrap Align="start" Style="padding:10px">
        <SpaceItem>
-            <Card Bordered="true" Title=@("👉🏻商业版") Hoverable="true" Style="height:260px;width:300px">
+            <Card Bordered="true" Title=@("👉🏻商业授权") Hoverable="true" Style="height:260px;width:300px">
                <Body>
                    <Text>● AntSKPro为商业版 <a href="https://antsk.cn" target="_blank">访问官网</a></Text>
                    <br>
                    <Text>● 开源版本请参见：</Text>
                    <a href="https://github.com/AIDotNet/AntSK" target="_blank">AntSK开源版</a>
                    <br>
-                    <Text>● 如需商业版授权，请联系微信：</Text>
-                    <b style="color:#1890ff">xuzeyu91</b>
+                    <Text>● 未获取商业授权，禁止商业使用</Text>
+                    <br>
+                    <Text>● 如需商业授权，请联系微信：</Text>
+                    <b style="color:#1890ff">13469996907</b>
                    <br>
                </Body>
            </Card>
        </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("🍬语义内核") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、采用遥遥领先的自然语言处理技术</Text>
-                     <br>
-                     <Text>2、准确理解、处理和响应复杂的语义查询</Text>
-                     <br>
-                     <Text>3、为用户提供精确的信息检索和推荐服务</Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("🏁知识库") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、通过文档（Word、PDF、Excel、Txt、Markdown、Json、PPT）等形式导入知识库</Text>
-                     <br>
-                     <Text>2、可以进行知识库文档搜索问答</Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("🌈GPTs 生成") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、支持创建个性化的GPTs</Text>
-                     <br>
-                     <Text>2、构建您自己的GPTs</Text>
-                     <br>
-                     <Text>3、可以尽情发挥你的想象力</Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("🎁插件生态") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、开放式API插件系统，允许第三方开发者或服务商轻松将其接口集成到AntSK，不断增强应用功能</Text>
-                     <br>
-                     <Text>2、开放式函数插件系统，标准格式的函数代码以及dll后集成到AntSK，不断增强应用功能</Text>
-                     <br>
-                     <Text>3、支持二次开发Function</Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("📱模型集成与管理") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、适配和管理集成不同厂商的不同模型</Text>
-                     <br>
-                     <Text>
-                         2、并且支持llama.cpp所支持的gguf类型的模型离线运行
-                     </Text>
-                     <br>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🌟AntSKPro 一体机") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
                    <Text>
-                        3、支持llamafactory所支持的模型，包括baichuan、gemma、yuan、yi等
+                        ● 海量会话+向量+重排离线模型
                    </Text>
                    <br>
-                     <Text>
-                         4、未来将实现模型的训练、微调、部署一站式服务
-                     </Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-             <Card Bordered="true" Title=@("🔗国产信创") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Text>1、支持国产本地化模型</Text>
-                     <br>
-                     <Text>
-                         2、支持国产信创数据库
-                     </Text>
-                     <br>
-                     <Text>
-                         3、支持信创环境运行
-                     </Text>
-                     <br>
-                 </Body>
-             </Card>
-         </SpaceItem>
-         <SpaceItem>
-            <Card Bordered="true" Title=@("❤关注我的公众号") Hoverable="true" Style="height:260px;width:300px">
-                 <Body>
-                     <Image Height="170" Src="./assets/gzh.jpg" />
-                 </Body>
-             </Card>
-         </SpaceItem>
-
-     </Space>
+                    <Text>● 装机直发、开箱即用</Text>
+                    <a href="https://antsk.cn/solutions.html" target="_blank">更多详情</a>
+                    <br>
+                    <Text>
+                        ● 保姆式指导
+                    </Text>
+                    <br>
+                    <Text>
+                        ● 整机硬件质保三年
+                    </Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🍬语义内核") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 采用领先的自然语言处理技术</Text>
+                    <br>
+                    <Text>● 精准理解、处理和响应复杂的语义查询</Text>
+                    <br>
+                    <Text>● 为用户提供精准的信息检索和推荐服务</Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🏁知识库") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 支持导入各种格式的文档（如Word, PDF, Excel, Txt, Json, PPT, Png等）至知识库和知识图谱</Text>
+                    <br>
+                    <Text>● 可进行知识库和知识图谱文档的搜索问答</Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🌈GPTs 生成") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 支持创建个性化的GPTs</Text>
+                    <br>
+                    <Text>● 构建您自己的GPTs</Text>
+                    <br>
+                    <Text>● 尽情发挥您的想象力</Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🎁插件生态") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 开放API插件系统，允许第三方开发者或服务商轻松集成接口至AntSK，持续增强应用功能</Text>
+                    <br>
+                    <Text>● 开放函数插件系统，标准格式的函数代码及dll文件可集成至AntSK，持续增强应用能力</Text>
+                    <br>
+                    <Text>● 支持二次开发Function</Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("📱模型集成与管理") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 适配与管理来自不同厂商的多种模型</Text>
+                    <br>
+                    <Text>
+                        ● 支持ollama支持的gguf模型类型离线运行
+                    </Text>
+                    <br>
+                    <Text>
+                        ● 支持llamafactory所支持的模型，包括baichuan、gemma、yuan、yi等
+                    </Text>
+                    <br>
+                    <Text>
+                        ● 未来将实现模型的训练、微调、部署一站式服务
+                    </Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("🔗国产信创") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 支持国产本地化模型</Text>
+                    <br>
+                    <Text>
+                        ● 支持国产信创数据库
+                    </Text>
+                    <br>
+                    <Text>
+                        ● 支持信创环境运行
+                    </Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+        <SpaceItem>
+            <Card Bordered="true" Title=@("✨技术支持") Hoverable="true" Style="height:260px;width:300px">
+                <Body>
+                    <Text>● 商业版享有专业的技术支持（1对1）</Text>
+                    <br>
+                    <Text>
+                        ● 提供技术指导、方案设计、技术对接等服务
+                    </Text>
+                    <br>
+                    <Text>
+                        ● 提供培训服务
+                    </Text>
+                    <br>
+                </Body>
+            </Card>
+        </SpaceItem>
+    </Space>
 </GridContent>

--- a/src/AntSK/Pages/Index.razor.css
+++ b/src/AntSK/Pages/Index.razor.css
@@ -2,42 +2,165 @@
 /* stylelint-disable no-duplicate-selectors */
 /* stylelint-disable */
 /* stylelint-disable declaration-bang-space-before,no-duplicate-selectors,string-no-newline */
+
+/* 全局样式优化 */
+:root {
+  --primary-color: #1890ff;
+  --primary-hover: #40a9ff;
+  --primary-active: #096dd9;
+  --primary-light: rgba(24, 144, 255, 0.1);
+  --text-color: rgba(0, 0, 0, 0.85);
+  --text-color-secondary: rgba(0, 0, 0, 0.45);
+  --border-radius: 4px;
+  --box-shadow: 0 2px 8px rgba(0, 0, 0, 0.15);
+  --transition-duration: 0.3s;
+}
+
+/* 图标组样式优化 */
 .iconGroup span.anticon {
  margin-left: 16px;
-  color: rgba(0, 0, 0, 0.45);
+  color: var(--text-color-secondary);
  cursor: pointer;
-  transition: color 0.32s;
+  transition: all var(--transition-duration) ease;
 }
+
 .iconGroup span.anticon:hover {
-  color: rgba(0, 0, 0, 0.85);
+  color: var(--text-color);
+  transform: scale(1.1);
 }
+
+/* 统计卡片样式增强 */
+.ant-card {
+  border-radius: 8px;
+  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.08);
+  transition: all var(--transition-duration) ease;
+}
+
+.ant-card:hover {
+  box-shadow: 0 8px 20px rgba(0, 0, 0, 0.12);
+  transform: translateY(-3px);
+}
+
+/* ChartCard 组件样式优化 */
+.chartCard {
+  position: relative;
+  padding: 16px;
+  transition: all var(--transition-duration) ease;
+}
+
+.chartCard .chartTop {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  margin-bottom: 12px;
+}
+
+.chartCard .metaWrap {
+  flex: 1;
+}
+
+.chartCard .meta {
+  display: flex;
+  justify-content: space-between;
+  color: var(--text-color-secondary);
+  font-size: 14px;
+  line-height: 22px;
+}
+
+.chartCard .action {
+  color: var(--primary-color);
+  transition: all var(--transition-duration) ease;
+}
+
+.chartCard .total {
+  margin-top: 4px;
+  color: var(--text-color);
+  font-weight: 600;
+  font-size: 24px;
+  line-height: 32px;
+}
+
+.chartCard .content {
+  position: relative;
+  margin-bottom: 12px;
+  height: auto;
+  width: 100%;
+}
+
+.chartCard .contentFixed {
+  position: absolute;
+  bottom: 0;
+  left: 0;
+  width: 100%;
+}
+
+.chartCard .footer {
+  margin-top: 8px;
+  padding-top: 9px;
+  border-top: 1px solid rgba(0, 0, 0, 0.06);
+}
+
+/* 功能特性卡片样式优化 */
+.ant-space-item .ant-card {
+  overflow: hidden;
+  border: 1px solid rgba(0, 0, 0, 0.06);
+  background: linear-gradient(135deg, #ffffff 0%, #f8f9fa 100%);
+}
+
+.ant-space-item .ant-card:hover {
+  border-color: var(--primary-color);
+}
+
+.ant-space-item .ant-card .ant-card-head {
+  border-bottom: 1px solid rgba(0, 0, 0, 0.06);
+  background: linear-gradient(90deg, var(--primary-light) 0%, rgba(255, 255, 255, 0) 100%);
+}
+
+.ant-space-item .ant-card .ant-card-head-title {
+  font-weight: 600;
+  font-size: 16px;
+  color: var(--text-color);
+}
+
+/* 排名列表样式优化 */
 .rankingList {
  margin: 25px 0 0;
  padding: 0;
  list-style: none;
 }
+
 .rankingList li {
  display: flex;
  align-items: center;
  margin-top: 16px;
-  zoom: 1;
+  padding: 8px;
+  border-radius: var(--border-radius);
+  transition: background-color var(--transition-duration) ease;
 }
+
+.rankingList li:hover {
+  background-color: rgba(0, 0, 0, 0.02);
+}
+
 .rankingList li::before,
 .rankingList li::after {
  display: table;
  content: ' ';
 }
+
 .rankingList li::after {
  clear: both;
  height: 0;
  font-size: 0;
  visibility: hidden;
 }
+
 .rankingList li span {
-  color: rgba(0, 0, 0, 0.85);
+  color: var(--text-color);
  font-size: 14px;
  line-height: 22px;
 }
+
 .rankingList li .rankingItemNumber {
  display: inline-block;
  width: 20px;
@@ -49,12 +172,15 @@
  line-height: 20px;
  text-align: center;
  background-color: #fafafa;
-  border-radius: 20px;
+  border-radius: 50%;
+  transition: all var(--transition-duration) ease;
 }
+
 .rankingList li .rankingItemNumber.active {
  color: #fff;
-  background-color: #314659;
+  background-color: var(--primary-color);
 }
+
 .rankingList li .rankingItemTitle {
  flex: 1;
  margin-right: 8px;
@@ -62,79 +188,41 @@
  white-space: nowrap;
  text-overflow: ellipsis;
 }
-.salesExtra {
-  display: inline-block;
-  margin-right: 24px;
-}
-.salesExtra a {
-  margin-left: 24px;
-  color: rgba(0, 0, 0, 0.85);
-}
-.salesExtra a:hover {
-  color: #1890ff;
-}
-.salesExtra a.currentDate {
-  color: #1890ff;
-}
-.salesCard .salesBar {
-  padding: 0 0 32px 32px;
-}
-.salesCard .salesRank {
-  padding: 0 32px 32px 72px;
-}
-.salesCard :global .ant-tabs-bar,
-.salesCard :global .ant-tabs-nav-wrap {
-  padding-left: 16px;
-}
-.salesCard :global .ant-tabs-bar .ant-tabs-nav .ant-tabs-tab,
-.salesCard :global .ant-tabs-nav-wrap .ant-tabs-nav .ant-tabs-tab {
-  padding-top: 16px;
-  padding-bottom: 14px;
-  line-height: 24px;
-}
-.salesCard :global .ant-tabs-extra-content {
-  padding-right: 24px;
-  line-height: 55px;
-}
-.salesCard :global .ant-card-head {
+
+/* 标题样式优化 */
+.ant-divider .ant-typography {
  position: relative;
+  color: var(--text-color);
+  font-weight: 600;
+  text-align: center;
 }
-.salesCard :global .ant-card-head-title {
-  align-items: normal;
-}
-.salesCardExtra {
-  height: inherit;
-}
-.salesTypeRadio {
+
+.ant-divider .ant-typography::after {
+  content: '';
  position: absolute;
-  right: 54px;
-  bottom: 12px;
+  bottom: -8px;
+  left: 50%;
+  width: 40px;
+  height: 3px;
+  background: var(--primary-color);
+  transform: translateX(-50%);
+  border-radius: 3px;
 }
-.offlineCard :global .ant-tabs-ink-bar {
-  bottom: auto;
+
+/* 标签样式优化 */
+.ant-tag {
+  margin: 4px;
+  padding: 2px 8px;
+  border-radius: 12px;
+  font-size: 12px;
+  transition: all var(--transition-duration) ease;
 }
-.offlineCard :global .ant-tabs-bar {
-  border-bottom: none;
-}
-.offlineCard :global .ant-tabs-nav-container-scrolling {
-  padding-right: 40px;
-  padding-left: 40px;
-}
-.offlineCard :global .ant-tabs-tab-prev-icon::before {
-  position: relative;
-  left: 6px;
-}
-.offlineCard :global .ant-tabs-tab-next-icon::before {
-  position: relative;
-  right: 6px;
-}
-.offlineCard :global .ant-tabs-tab-active h4 {
-  color: #1890ff;
-}
-.trendText {
-  margin-left: 8px;
-  color: rgba(0, 0, 0, 0.85);
+
+.ant-tag:hover {
+  transform: scale(1.05);
 }
+
+/* 响应式调整 */
@media screen and (max-width: 992px) {
  .salesExtra {
    display: none;
@@ -142,7 +230,11 @@
  .rankingList li span:first-child {
    margin-right: 8px;
  }
+  .ant-card:hover {
+    transform: translateY(-2px);
+  }
 }
+
@media screen and (max-width: 768px) {
  .rankingTitle {
    margin-top: 16px;
@@ -150,7 +242,11 @@
  .salesCard .salesBar {
    padding: 16px;
  }
+  .ant-space {
+    justify-content: center;
+  }
 }
+
@media screen and (max-width: 576px) {
  .salesExtraWrap {
    display: none;
@@ -158,4 +254,7 @@
  .salesCard :global .ant-tabs-content {
    padding-top: 30px;
  }
+  .chartCard .total {
+    font-size: 20px;
+  }
 }
--- a/src/AntSK/Pages/Setting/AIModel/AddModel.razor
+++ b/src/AntSK/Pages/Setting/AIModel/AddModel.razor
@@ -170,6 +170,8 @@
                            </Select>
                        </InputGroup>
                        <a href="https://ollama.com/library" target="_blank">获取更多模型</a>
+                        <br/>
+                        <span>可以在OllamaModelList.txt中进行修改</span>
                    </FormItem>
                    <FormItem Label="请求地址" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
                        <Input Placeholder="http://localhost:11434/" @bind-Value="@context.EndPoint" AutoComplete="false" />
@@ -179,7 +181,7 @@
                    </FormItem>
                    <FormItem Label="Ollama服务" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
                        <InputGroup>
-                            <Button Type="primary" OnClick="StartOllamaService">启动</Button>
+                            <Button Type="primary" OnClick="StartOllamaService">下载模型</Button>
                        </InputGroup>
                    </FormItem>
                }
@@ -200,6 +202,8 @@
                            </Select>
                        </InputGroup>
                        <a href="https://ollama.com/library" target="_blank">获取更多模型</a>
+                        <br />
+                        <span>可以在OllamaEmbeddingModelList.txt中进行修改</span>
                    </FormItem>
                    <FormItem Label="请求地址" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
                        <Input Placeholder="http://localhost:11434/" @bind-Value="@context.EndPoint" AutoComplete="false" />
@@ -209,7 +213,7 @@
                    </FormItem>
                    <FormItem Label="Ollama服务" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
                        <InputGroup>
-                            <Button Type="primary" OnClick="StartOllamaService">启动</Button>
+                            <Button Type="primary" OnClick="StartOllamaService">下载模型</Button>
                        </InputGroup>
                    </FormItem>
                }
@@ -220,9 +224,8 @@
                                @bind-Value="@context.ModelName"
                                ValueProperty="c=>c"
                                LabelProperty="c=>c">
-                        </Select>
+                        </Select>  
                    </FormItem>
-
                    <FormItem Label="Python路径" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
                        <Popover ContentTemplate="@_content" Title="提示" Style="width:100%">
                            <Input Placeholder="D:\Programs\Python\Python311\python311.dll" @bind-Value="@context.EndPoint" AutoComplete="false" />
--- a/src/AntSK/Pages/Setting/AIModel/AddModel.razor.cs
+++ b/src/AntSK/Pages/Setting/AIModel/AddModel.razor.cs
@@ -317,7 +317,7 @@ namespace AntSK.Pages.Setting.AIModel

            _ollamaService.LogMessageReceived -= CmdLogHandler;
            _ollamaService.LogMessageReceived += CmdLogHandler;
-            _ollamaService.StartOllama(_aiModel.ModelName);
+            _ollamaService.OllamaPull(_aiModel.ModelName);
        }

        private void OnCancelPipInstall()
--- a/src/AntSK/Program.cs
+++ b/src/AntSK/Program.cs
@@ -123,5 +123,15 @@ app.UseEndpoints(endpoints =>
 {
    endpoints.MapControllers();
 });
+
+
+//延迟3秒后打开浏览器 localhost:5000
+//Task.Run(async () =>
+//{
+//    await Task.Delay(3000);
+//    System.Diagnostics.Process.Start("explorer.exe", "http://localhost:5000");
+//});
 app.Run();

+
+
--- a/src/AntSK/README.md
+++ b/src/AntSK/README.md
@@ -1 +0,0 @@
-# AntSK
--- a/src/AntSK/appsettings.json
+++ b/src/AntSK/appsettings.json
@@ -10,7 +10,7 @@
  "urls": "http://*:5000",
  "ProSettings": {
    "NavTheme": "light",
-    "Layout": "side",
+    "Layout": "top",
    "ContentWidth": "Fluid",
    "FixedHeader": false,
    "FixSiderbar": true,
@@ -38,7 +38,7 @@
  },
  "Login": {
    "User": "admin",
-    "Password": "xuzeyu"
+    "Password": "admin"
  },
  "BackgroundTaskBroker": {
    "ImportKMSTask": {
--- a/src/AntSK/wwwroot/data/menu.json
+++ b/src/AntSK/wwwroot/data/menu.json
@@ -71,18 +71,18 @@
      }
    ]
  },
-  {
-    "path": "https://antsk.cn",
-    "name": "官方文档",
-    "key": "antskdoc",
-    "icon": "question-circle"
-  },
  {
    "path": "https://api.antsk.cn/",
    "name": "GPT代理接口",
    "key": "antskapi",
    "icon": "bulb"
  },
+  {
+    "path": "https://antsk.cn",
+    "name": "官网",
+    "key": "antskdoc",
+    "icon": "question-circle"
+  },
  {
    "path": "https://www.bilibili.com/video/BV1vK421b7NF",
    "name": "教程视频",
--- a/src/Directory.Build.props
+++ b/src/Directory.Build.props
@@ -5,5 +5,6 @@
    <NewtonsoftVersion>13.0.3</NewtonsoftVersion>
    <RestSharpVersion>112.1.0</RestSharpVersion>
    <SKVersion>1.17.2</SKVersion>
+    <NetVersion>9.0.0</NetVersion>
  </PropertyGroup>
 </Project>
--- a/src/MiddleWare/AntSK.BackgroundTask/AntSK.BackgroundTask.csproj
+++ b/src/MiddleWare/AntSK.BackgroundTask/AntSK.BackgroundTask.csproj
@@ -2,7 +2,7 @@
  <PropertyGroup>
    <AssemblyName>AntSK.BackgroundTask</AssemblyName>
    <GenerateAssemblyInfo>False</GenerateAssemblyInfo>
-    <TargetFramework>netstandard2.1</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
  </PropertyGroup>
  <PropertyGroup>
    <LangVersion>Preview</LangVersion>
Author	SHA1	Message	Date
zyxucp	34874aa7b8	update readme	2025-06-10 17:07:05 +08:00
zyxucp	723e3388a7	update readme	2025-06-10 16:59:49 +08:00
zyxucp	be56859a6d	update 官网	2025-06-10 16:58:28 +08:00
zyxucp	901e81c61b	update 取消默认打开	2025-06-10 14:37:26 +08:00
zyxucp	8a19f61689	update 升级至dotnet9	2025-06-10 14:29:33 +08:00
zyxucp	e6456a2c86	Update README.zh.md	2025-05-23 10:34:19 +08:00
zyxucp	0ecf060b2b	Update README.md	2025-05-23 10:34:00 +08:00
zyxucp	a0bc481ac5	Update appsettings.json	2025-05-23 10:33:32 +08:00
zyxucp	9e873f1e2d	Update README.md	2025-05-21 16:35:06 +08:00
zyxucp	b3eccaba60	Update docker-compose.simple.yml	2025-05-21 16:34:51 +08:00
zyxucp	3a19015b1f	Update docker-compose.yml	2025-05-21 16:34:29 +08:00
zyxucp	ea3a94f594	Update LICENSE	2025-05-21 16:30:10 +08:00
zyxucp	8b5b261661	Merge branch 'main' of https://github.com/AIDotNet/AntSK	2025-05-01 20:48:00 +08:00
zyxucp	bc3f4dcb92	update menu and chat	2025-05-01 20:47:09 +08:00
zyxucp	01deb3084a	Update README.zh.md	2025-04-26 21:14:10 +08:00
zyxucp	fb8cc18f99	Update LICENSE	2025-03-30 17:13:19 +08:00
zyxucp	a219bb7eaa	Update README.zh.md	2025-03-29 12:57:26 +08:00
zyxucp	4ac7c79192	Update README.zh.md	2025-03-29 12:54:55 +08:00
zyxucp	a24c5548e1	updte 延迟3秒启动	2025-03-29 12:51:43 +08:00
zyxucp	8c4030ae43	update chat 默认app	2025-03-29 12:45:39 +08:00
zyxucp	c912ceeee0	del 删除做图应用	2025-03-29 12:37:20 +08:00
zyxucp	58c5edbc5e	del 删除做图应用	2025-03-29 12:36:08 +08:00
zyxucp	3d86fd1125	update nuge and menu	2025-03-29 12:33:10 +08:00
zyxucp	f8c6a05380	update style	2025-03-12 23:22:30 +08:00
zyxucp	10b4706094	update 1	2025-03-12 23:12:21 +08:00
zyxucp	3f7e2d29e1	update 官网	2025-03-12 23:11:43 +08:00
zyxucp	d93e962ae9	Update docker-compose.simple.yml	2025-02-27 14:55:05 +08:00
zyxucp	1da5d5bce1	Update docker-compose.yml	2025-02-27 14:54:25 +08:00
zyxucp	b853ab4851	update index	2025-02-24 18:06:54 +08:00
zyxucp	00b37d9600	update pip	2025-02-23 09:22:55 +08:00
zyxucp	c467a3c427	update pip	2025-02-23 09:17:07 +08:00
zyxucp	06cdbb14d0	update 提示	2025-02-20 15:01:37 +08:00
zyxucp	115e12257b	update ollama	2025-02-20 14:33:23 +08:00
zyxucp	533a47566b	add	2025-02-20 14:28:03 +08:00
zyxucp	51ec2db3c3	del	2025-02-20 14:27:22 +08:00
zyxucp	3aa76e0662	Merge branch 'main' of https://github.com/AIDotNet/AntSK	2025-02-20 14:13:43 +08:00
zyxucp	755d2c2d4f	update	2025-02-20 14:11:43 +08:00
zyxucp	bd27048237	Update docker-compose.yml	2025-02-20 13:19:48 +08:00
zyxucp	01063f2d49	Update docker-compose.yml	2025-02-18 15:42:53 +08:00
zyxucp	5a4f038da1	Update docker-compose.simple.yml	2025-02-18 15:42:38 +08:00
zyxucp	dd6e1a6d54	Update README.md	2025-02-18 15:42:19 +08:00
zyxucp	52e20396ad	Update README.zh.md	2025-02-18 15:41:28 +08:00
zyxucp	a8f48929e7	Update README.zh.md	2025-02-18 15:40:45 +08:00
zyxucp	ae89fb5ec7	Update README.md	2025-02-18 15:40:09 +08:00