[improvement][docs]Add wechat contact to README

This commit is contained in:
jerryjzhang
2023-08-29 09:31:45 +08:00
parent a6c4d10d70
commit 5ee5ab116f
4 changed files with 20 additions and 4 deletions

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@@ -32,15 +32,17 @@ The high-level architecture and main process flow is as follows:
<img src="./docs/images/supersonic_components.png" height="65%" width="65%" align="center"/>
- **Schema Mapper:** identifies references to schema elements(metrics/dimensions/entities/values) in user queries. It matches the query text against a knowledge base constructed from the semantic models.
- **Knowledge Base:** extracts schema information periodically from the semantic models and build dictionary and index to facilitate schema mapping.
- **Semantic Parser:** understands user queries and extract semantic information. It consists of a combination of rule-based and model-based parsers, each of which deals with specific scenarios.
- **Schema Mapper:** identifies references to schema elements(metrics/dimensions/entities/values) in user queries. It matches the query text against the knowledge base.
- **Semantic Parser:** understands user queries and extracts semantic information. It consists of a combination of rule-based and model-based parsers, each of which deals with specific scenarios.
- **Semantic Corrector:** checks validity of extracted semantic information and performs correction and optimization if needed.
- **Semantic Layer:** performs execution according to extracted semantic information. It generates SQL queries and executes them against physical data models.
- **Chat Plugin:** extends functionality with third-party tools. Given all configured plugins with function description and sample questions, the LLM is going to select the most suitable one.
- **Chat Plugin:** extends functionality with third-party tools. The LLM is going to select the most suitable one, given all configured plugins with function description and sample questions.
## Quick Demo
@@ -61,3 +63,9 @@ Pull the source code and run script "assembly/bin/build-standalone.sh" to build
### Build for Distributed Mode
Pull the source code and run scripts "assembly/bin/build-chat.sh" and "assembly/bin/build-semantic.sh" separately to build packages.
## WeChat Contact
Please join the chat group to suggest feedbacks or ideas:
<img src="./docs/images/wechat_contact.jpeg" height="30%" width="30%" align="center"/>

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@@ -30,7 +30,9 @@
<img src="./docs/images/supersonic_components.png" height="65%" width="65%" align="center"/>
- **模式映射器(Schema Mapper)** 基于语义模型构建知识库,然后将自然语言文本在知识库中进行匹配,为后续的语义解析提供相关信息
- **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
- **模式映射器(Schema Mapper)** 将自然语言文本在知识库中进行匹配,为后续的语义解析提供相关信息。
- **语义解析器(Semantic Parser)** 理解用户查询并抽取语义信息,其由一组基于规则和基于模型的解析器组成,每个解析器可应对不同的特定场景。
@@ -59,3 +61,9 @@
### Distributed模式构建
下载源码包,分别运行脚本"assembly/bin/build-chat.sh"、"assembly/bin/build-semantic.sh",为问答层服务和语义层服务编译打包
## 微信联系方式
欢迎加入微信群反馈建议:
<img src="./docs/images/wechat_contact.jpeg" height="30%" width="30%" align="center"/>

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