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...24-09-04-dbgpt-v0.6.0-Defining new standards for AI-native data applications.md
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# DB-GPT V0.6.0, Defining new standards for AI-native data applications. |
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# App Chat | ||
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The online Chat interface provides the main conversation capabilities, showing the historical conversation records and the application currently in conversation. As shown in the figure below, clicking any smart application will also jump to this interface. | ||
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<p align="center"> | ||
<img src={'/img/app/app_chat_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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In the dialogue interface, a series of operations such as refreshing and pausing the dialogue are supported. The specific operation buttons are in the edit box at the bottom right. At the same time, the dialog box also provides a variety of parameter selections, such as model selection, temperature parameter adjustment, file upload, etc. | ||
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<p align="center"> | ||
<img src={'/img/app/app_chat_op_v0.6.jpg'} width="800" /> | ||
</p> | ||
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If you find new problems or have good ideas during use, you can also directly post them on Github [issue](https://github.com/eosphoros-ai/DB-GPT/issues) feedback. |
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# App Explore | ||
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In the new version of DB-GPT V0.6.0, the application management has been comprehensively upgraded. The search square module is mainly used to discover various interesting, fun and useful data applications.KeywordsIn addition to searching for apps, it also provides popular recommendations, comprehensive apps, my favorites, etc. | ||
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After the default installation, the previous six application scenarios are retained. | ||
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- [Chat Excel](chat_excel.md) | ||
- Chat Normal | ||
- [Chat DB](chat_db.md) | ||
- [Chat DashBoard](chat_dashboard.md) | ||
- [Chat Data](chat_data.md) | ||
- [Chat Knowledge Base](chat_knowledge.md) | ||
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<p align="center"> | ||
<img src={'/img/app/app_explore_v0.6.jpg'} width="800px" /> | ||
</p> |
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# App Manage | ||
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The application management panel provides many capabilities. Here we mainly introduce the management of the data intelligence application life cycle, including application creation, editing, deletion, and use. | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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As shown in the figure, the application management interface. First, let's take a look at the creation of an application. In DB-GPT, four application creation modes are provided. | ||
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- Multi-agent automatic planning mode | ||
- Task flow orchestration mode | ||
- Single Agent Mode | ||
- Native application mode | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_mode_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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Next, we will explain the creation of applications in each mode respectively. Native application mode In the early versions of DB-GPT, six types of native application scenarios were provided, such as `Chat DB`, `Chat Data`, `Chat Dashboard`, `Chat Knowledge Base`, `Chat Normal`, `Chat Excel`, etc. | ||
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By creating a data intelligence application in the native application mode, you can quickly build a similar application based on your own database, knowledge base and other parameters. Click the upper right cornerCreate an applicationbutton, select **Native application mode**, enter the application name and description, click **Sure** | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_chat_data_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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After confirmation, enter the parameter selection panel. As shown in the figure below, we can see selection boxes such as application type, model, temperature, and recommended questions. | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_chat_data_editor_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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Here, we select **Chat Data** Application, fill in the parameters in order according to the requirements. Note that in the data dialogue application, the parameter column needs to fill in the data source. If you do not have a data source, you need to follow [Data Source Tutorial](../datasources.md) to add it. | ||
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After completing the parameters, click **Save** to view related applications in the application panel. | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_app_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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Please note that after creating an application, there is a **Publish Application** button. Only after the application is published can it be discovered and used by other users. | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_app_publish_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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Finally, click the **Start a conversation** button to start a conversation with the application you just created. | ||
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<p align="center"> | ||
<img src={'/img/app/app_manage_chat_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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In addition, you can also edit and delete applications. Just operate on the corresponding interface. |
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# Chat Data | ||
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Chat data capability is to dialogue with data through natural language. Currently, it is mainly dialogue between structured and semi-structured data, which can assist in data analysis and insight. | ||
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:::info note | ||
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Before starting the data conversation, we first need to add the data source | ||
::: | ||
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## steps | ||
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To start a data conversation, you need to go through the following steps: | ||
- 1.Add data source | ||
- 2.Select ChatData | ||
- 3.Select the corresponding database | ||
- 4.Start a conversation | ||
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### Add data source | ||
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First, select the [data source](../datasources.md) on the left to add and add a database. Currently, DB-GPT supports multiple database types. Just select the corresponding database type to add. Here we choose MySQL as a demonstration. For the test data of the demonstration, see the [test sample](https://github.com/eosphoros-ai/DB-GPT/tree/main/docker/examples/sqls). | ||
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### Choose ChatData App | ||
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<p align="center"> | ||
<img src={'/img/app/chat_data_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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### Start a conversation | ||
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<p align="center"> | ||
<img src={'/img/app/chat_data_display_v0.6.jpg'} width="800px" /> | ||
</p> | ||
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