Add DB-GPT (#358)

* feat:Add DB-GPT

* feat: solve the conflict
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@ -368,6 +368,19 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
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### Data AI Applications frameworks
<table>
<tr>
<td> <img src="https://github.com/user-attachments/assets/1aacfe57-bc39-4fa4-9406-3adfe583224a" alt="Icon" width="96" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/dbgpt/README.md"> DB-GPT </a> </td>
<td> 🤖 DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents.
The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.
</td>
</tr>
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### RAG frameworks
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</table>
### AI数据应用框架
<table>
<tr>
<td> <img src="https://github.com/user-attachments/assets/1aacfe57-bc39-4fa4-9406-3adfe583224a" alt="Icon" width="96" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/dbgpt/README_cn.md"> DB-GPT </a> </td>
<td> DB-GPT是一个开源的AI原生数据应用开发框架(AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents)。
目的是构建大模型领域的基础设施,通过开发多模型管理(SMMF)、Text2SQL效果优化、RAG框架以及优化、Multi-Agents框架协作、AWEL(智能体工作流编排)等多种技术能力,让围绕数据库构建大模型应用更简单,更方便。
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</table>
### RAG 框架
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@ -252,6 +252,18 @@ DeepSeek API を人気のソフトウェアに統合します。API キーを取
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### AIデータアプリケーション開発フレームワーク
<table>
<tr>
<td> <img src="https://github.com/user-attachments/assets/1aacfe57-bc39-4fa4-9406-3adfe583224a" alt="Icon" width="96" height="auto" /> </td>
<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/dbgpt/README.md"> DB-GPT </a> </td>
<td> DB-GPT は、AWEL (Agentic Workflow Expression Language) とエージェントを備えたオープンソースの AI ネイティブ データ アプリ開発フレームワークです。
その目的は、マルチモデル管理 (SMMF)、Text2SQL 効果の最適化、RAG フレームワークと最適化、マルチエージェント フレームワークのコラボレーション、AWEL (エージェント ワークフロー オーケストレーション) などの複数の技術機能を開発することにより、大規模モデルの分野でインフラストラクチャを構築し、データベースを中心とした大規模モデル アプリケーションの構築をより簡単かつ便利にすることです。
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### RAG フレームワーク
<table>

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# [DB-GPT](https://github.com/eosphoros-ai/DB-GPT)
🤖 DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents.
The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.
## UI
![image](assets/dbgpt_ui_en.jpg)
## Data Analysis with Deepseek API
![image](assets/dbgpt_chat_data_en.jpg)
## Datasources
![image](assets/dbgpt_datasource_en.jpg)

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# [DB-GPT](https://github.com/eosphoros-ai/DB-GPT)
DB-GPT是一个开源的AI原生数据应用开发框架(AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents)。
目的是构建大模型领域的基础设施,通过开发多模型管理(SMMF)、Text2SQL效果优化、RAG框架以及优化、Multi-Agents框架协作、AWEL(智能体工作流编排)等多种技术能力,让围绕数据库构建大模型应用更简单,更方便。
## UI
![image](assets/dbgpt_ui.jpg)
## 数据分析 with Deepseek API
![image](assets/dbgpt_chat_data.jpg)
## Datasources
![image](assets/dbgpt_datasource.jpg)

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