Merge pull request #114 from SylphAI-Inc/li

Quick update on read me message

Author: Sylph-AI

README.md

@@ -1,21 +1,18 @@
 ![LightRAG Logo](https://raw.githubusercontent.com/SylphAI-Inc/LightRAG/main/docs/source/_static/images/LightRAG-logo-doc.jpeg)
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-[![License](https://img.shields.io/github/license/SylphAI-Inc/LightRAG)](https://opensource.org/license/MIT)
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+[![GitHub star chart](https://img.shields.io/github/stars/SylphAI-Inc/LightRAG?style=flat-square)](https://star-history.com/#SylphAI-Inc/LightRAG)
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+[![License](https://img.shields.io/github/license/SylphAI-Inc/LightRAG)](https://opensource.org/license/MIT)
 [![](https://dcbadge.vercel.app/api/server/zt2mTPcu?compact=true&style=flat)](https://discord.gg/zt2mTPcu)
 
 
 ### ⚡ The Lightning Library for Large Language Model Applications ⚡
 
-*LightRAG* helps developers with both building and optimizing *Retriever-Agent-Generator* pipelines.
-It is *light*, *modular*, and *robust*, with a 100% readable codebase.
-
-
+*LightRAG* helps developers build and optimize *Retriever-Agent-Generator* pipelines.
+Embracing a design philosophy similar to *PyTorch*, LightRAG is *light*, *modular*, and *robust*, with a 100% readable codebase.
 
 
 # Why LightRAG?
@@ -27,7 +24,8 @@ Because of this, no library can provide out-of-the-box solutions. Users must bui
 This is what LightRAG is: light, modular, and robust, with a 100% readable codebase.
 
 
-Further reading: [Introduction](https://lightrag.sylph.ai/), [Design Philosophy](https://lightrag.sylph.ai/tutorials/lightrag_design_philosophy.html) and [Class hierarchy](https://lightrag.sylph.ai/tutorials/class_hierarchy.html).
+Further reading: [How We Started](https://www.linkedin.com/posts/li-yin-ai_both-ai-research-and-engineering-use-pytorch-activity-7189366364694892544-Uk1U?utm_source=share&utm_medium=member_desktop),
+[Introduction](https://lightrag.sylph.ai/), [Design Philosophy](https://lightrag.sylph.ai/tutorials/lightrag_design_philosophy.html) and [Class hierarchy](https://lightrag.sylph.ai/tutorials/class_hierarchy.html).
 
 
 <!--
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 # Documentation
 
 LightRAG full documentation available at [lightrag.sylph.ai](https://lightrag.sylph.ai/):
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+- [How We Started](https://www.linkedin.com/posts/li-yin-ai_both-ai-research-and-engineering-use-pytorch-activity-7189366364694892544-Uk1U?utm_source=share&utm_medium=member_desktop)
 - [Introduction](https://lightrag.sylph.ai/)
 - [Full installation guide](https://lightrag.sylph.ai/get_started/installation.html)
 - [Design philosophy](https://lightrag.sylph.ai/tutorials/lightrag_design_philosophy.html)