[docs]Add core idea diagram to README

README.md

@@ -4,7 +4,7 @@
 
 # SuperSonic (超音数)
 
-**SuperSonic is the next-generation LLM-powered data analytics platform that integrates ChatBI and HeadlessBI**. SuperSonic provides a chat 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 entities/metrics/dimensions/tags, along with their meaning, context and relationships) on top of physical data models, and **no data modification or copying** is required. Meanwhile, SuperSonic is designed to be **highly extensible**, allowing custom functionalities to be added and configured with Java SPI.
+**SuperSonic is the next-generation LLM-powered data analytics platform that integrates ChatBI and HeadlessBI**. SuperSonic provides a chat 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 entities/metrics/dimensions/tags, along with their meaning, context and relationships) with semantic layer, and **no data modification or copying** is required. Meanwhile, SuperSonic is designed to be **highly extensible**, allowing custom functionalities to be added and configured with Java SPI.
 
 <img src="./docs/images/supersonic_demo.gif" height="100%" width="100%" align="center"/>
 
@@ -13,7 +13,8 @@
 The emergence of Large Language Model (LLM) like ChatGPT is reshaping the way information is retrieved. In the field of data analytics, both academia and industry are primarily focused on leveraging LLM to convert natural language into SQL (so called Text2SQL or NL2SQL). While some approaches exhibit promising results, their **reliability** and **efficiency** are insufficient for real-world applications.  
 
 From our perspective, the key to filling the real-world gap lies in three aspects: 
-1. Integrate ChatBI with HeadlessBI encapsulating underlying data context (joins, keys, formulas, etc) to **reduce complexity**.
+1. Integrate ChatBI with HeadlessBI encapsulating underlying data context (joins, keys, formulas, etc) to **reduce complexity**. 
+   <img src="./docs/images/supersonic_ideas.png" height="65%" width="65%" align="center"/>
 2. Augment the LLM with schema mappers(as a kind of preprocessor) and semantic correctors(as a kind of postprocessor) to **mitigate hallucination**.
 3. Utilize rule-based schema parsers when necessary to **improve efficiency**(in terms of latency and cost).
 

README_CN.md

@@ -10,6 +10,8 @@
 
 在我们看来，为了在实际场景发挥价值，有三个关键点：
 1. 融合HeadlessBI，通过统一语义层封装底层数据细节（关联、键值、公式等），降低SQL生成的**复杂度**。
+
+   <img src="./docs/images/supersonic_ideas.png" height="65%" width="65%" align="center"/>
 2. 通过一前一后的模式映射器和语义修正器，来缓解LLM常见的**幻觉**现象。
 3. 设计启发式的规则，在一些特定场景提升语义解析的**效率**。