mirror of
https://github.com/tencentmusic/supersonic.git
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(docs)Move docs out of source code.
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.gitignore
vendored
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.vscode/
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logs/
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log/
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log/
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venv/
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*.DS_Store
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*.DS_Store
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*.iml
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*.bin
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*.bin
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README.md
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README.md
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- Chat BI's Text2SQL gets augmented with context-retrieval from semantic models.
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- Chat BI's Text2SQL gets augmented with context-retrieval from semantic models.
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- Headless BI's query interface gets extended with natural language API.
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- Headless BI's query interface gets extended with natural language API.
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<img src="./docs/images/supersonic_ideas.png" height="75%" width="75%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_ideas.png" height="75%" width="75%" />
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SuperSonic provides a **Chat BI interface** that empowers users to query data using natural language and visualize the results with suitable charts. To enable such experience, the only thing necessary is to build logical semantic models (definition of metric/dimension/tag, along with their meaning and relationships) through a **Headless BI interface**. Meanwhile, SuperSonic is designed to be extensible and composable, allowing custom implementations to be added and configured with Java SPI.
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SuperSonic provides a **Chat BI interface** that empowers users to query data using natural language and visualize the results with suitable charts. To enable such experience, the only thing necessary is to build logical semantic models (definition of metric/dimension/tag, along with their meaning and relationships) through a **Headless BI interface**. Meanwhile, SuperSonic is designed to be extensible and composable, allowing custom implementations to be added and configured with Java SPI.
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<img src="./docs/images/supersonic_demo.gif" height="100%" width="100%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_demo.gif" height="100%" width="100%" />
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## Motivation
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## Motivation
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@@ -40,7 +40,7 @@ With these ideas in mind, we develop SuperSonic as a practical reference impleme
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The high-level architecture and main process flow is as follows:
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The high-level architecture and main process flow is as follows:
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<img src="./docs/images/supersonic_components.png" height="65%" width="65%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_components.png" height="65%" width="65%" />
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- **Knowledge Base:** extracts schema information periodically from the semantic models and build dictionary and index to facilitate schema mapping.
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- **Knowledge Base:** extracts schema information periodically from the semantic models and build dictionary and index to facilitate schema mapping.
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## Build and Development
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## Build and Development
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Please refer to project [wiki](https://github.com/tencentmusic/supersonic/wiki).
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Please refer to project [Docs](https://supersonicbi.github.io/docs/%E7%B3%BB%E7%BB%9F%E9%83%A8%E7%BD%B2/%E7%BC%96%E8%AF%91%E6%9E%84%E5%BB%BA/).
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## WeChat Contact
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## WeChat Contact
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Please follow SuperSonic wechat official account:
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Please follow SuperSonic wechat official account:
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<img src="./docs/images/supersonic_wechat_oa.png" height="50%" width="50%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_wechat_oa.png" height="50%" width="50%" />
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Welcome to join the WeChat community:
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Welcome to join the WeChat community:
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<img src="./docs/images/supersonic_wechat.png" height="50%" width="50%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_wechat.png" height="50%" width="50%" />
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README_CN.md
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README_CN.md
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- Chat BI的Text2SQL生成通过检索语义数据模型得到增强。
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- Chat BI的Text2SQL生成通过检索语义数据模型得到增强。
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- Headless BI的查询接口通过支持自然语言API得到拓展。
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- Headless BI的查询接口通过支持自然语言API得到拓展。
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<img src="./docs/images/supersonic_ideas.png" height="75%" width="75%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_ideas.png" height="75%" width="75%" />
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通过SuperSonic的问答对话界面,用户能够使用自然语言查询数据,系统会选择合适的可视化图表呈现结果。SuperSonic不需要修改或复制数据,只需要在物理数据模型之上构建逻辑语义模型(定义指标/维度/实体/标签,以及它们的业务含义、相互关系等),即可开启数据问答体验。与此同时,SuperSonic被设计为可插拔的框架,采用Java SPI机制来扩展定制功能。
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通过SuperSonic的问答对话界面,用户能够使用自然语言查询数据,系统会选择合适的可视化图表呈现结果。SuperSonic不需要修改或复制数据,只需要在物理数据模型之上构建逻辑语义模型(定义指标/维度/实体/标签,以及它们的业务含义、相互关系等),即可开启数据问答体验。与此同时,SuperSonic被设计为可插拔的框架,采用Java SPI机制来扩展定制功能。
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<img src="./docs/images/supersonic_demo.gif" height="100%" width="100%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_demo.gif" height="100%" width="100%" />
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## 项目动机
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## 项目动机
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SuperSonic的整体架构和主流程如下图所示:
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SuperSonic的整体架构和主流程如下图所示:
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<img src="./docs/images/supersonic_components.png" height="65%" width="65%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_components.png" height="65%" width="65%" />
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- **模型知识库(Knowledge Base):** 定期从语义模型中提取相关的模式信息,构建词典和索引,以便后续的模式映射。
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- **模型知识库(Knowledge Base):** 定期从语义模型中提取相关的模式信息,构建词典和索引,以便后续的模式映射。
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@@ -67,16 +67,14 @@ SuperSonic自带样例的语义模型和问答对话,只需以下三步即可
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## 如何构建和部署
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## 如何构建和部署
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请参考项目[wiki](https://github.com/tencentmusic/supersonic/wiki)。
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请参考项目[文档](https://supersonicbi.github.io/docs/%E7%B3%BB%E7%BB%9F%E9%83%A8%E7%BD%B2/%E7%BC%96%E8%AF%91%E6%9E%84%E5%BB%BA/)。
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## 微信联系方式
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## 微信联系方式
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欢迎关注微信公众号:
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欢迎关注微信公众号:
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<img src="./docs/images/supersonic_wechat_oa.png" height="50%" width="50%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_wechat_oa.png" height="50%" width="50%" />
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欢迎加入微信社群:
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欢迎加入微信社群:
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<img src="./docs/images/supersonic_wechat.png" height="50%" width="50%" align="center"/>
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<img src="https://github.com/supersonicbi/supersonic-website/blob/main/static/img/supersonic_wechat.png" height="50%" width="50%" />
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