Doc/update readme patch 1 (#1538)

README.md

@@ -1,4 +1,4 @@
-![](./images/describe-en.png)
+[![](./images/describe-en.png)](https://dify.ai)
 <p align="center">
   <a href="./README.md">English</a> |
   <a href="./README_CN.md">简体中文</a> |
@@ -6,7 +6,7 @@
   <a href="./README_ES.md">Español</a>
 </p>
 
-#### [Website](https://dify.ai) • [Docs](https://docs.dify.ai) • [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted) •  [FAQ](https://docs.dify.ai/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) • [Discord](https://discord.gg/FngNHpbcY7)
+#### [![](https://dcbadge.vercel.app/api/server/FngNHpbcY7?style=flat&theme=clean&compact=true)](https://discord.gg/FngNHpbcY7) [![](https://img.shields.io/badge/Twitter-%231DA1F2.svg?logo=Twitter&logoColor=white)](https://twitter.com/dify_ai)  
 
 **Dify** is an LLM application development platform that has already seen over **100,000** applications built on Dify.AI. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine. With Dify, **you can self-deploy capabilities similar to Assistants API and GPTs based on any LLMs.**
 
@@ -43,6 +43,12 @@ Dify features model neutrality and is a complete, engineered tech stack compared
 
 **5. Continuous Operations**: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models using production data.
 
+## Before You Start
+
+- [Website](https://dify.ai)
+- [Docs](https://docs.dify.ai)
+- [Deployment Docs](https://docs.dify.ai/getting-started/install-self-hosted)
+- [FAQ](https://docs.dify.ai/getting-started/faq) 
 
 
 ## Install the Community Edition

README_CN.md

@@ -1,4 +1,4 @@
-![](./images/describe-en.png)
+[![](./images/describe-en.png)](https://dify.ai)
 
 <p align="center">
   <a href="./README.md">English</a> |
@@ -7,8 +7,7 @@
   <a href="./README_ES.md">Español</a>
 </p>
 
-
-####  [官方网站](https://dify.ai) •  [使用文档](https://docs.dify.ai/v/zh-hans)  · [部署文档](https://docs.dify.ai/v/zh-hans/getting-started/install-self-hosted)  ·  [FAQ](https://docs.dify.ai/v/zh-hans/getting-started/faq) • [Twitter](https://twitter.com/dify_ai) •  [Discord](https://discord.gg/FngNHpbcY7)
+#### [![](https://dcbadge.vercel.app/api/server/FngNHpbcY7?style=flat&theme=clean&compact=true)](https://discord.gg/FngNHpbcY7) [![](https://img.shields.io/badge/Twitter-%231DA1F2.svg?logo=Twitter&logoColor=white)](https://twitter.com/dify_ai)  
 
 Dify 是一个 LLM 应用开发平台，已经有超过 10 万个应用基于 Dify.AI 构建。它融合了 Backend as Service 和 LLMOps 的理念，涵盖了构建生成式 AI 原生应用所需的核心技术栈，包括一个内置 RAG 引擎。使用 Dify，你可以基于任何模型自部署类似 Assistants API 和 GPTs 的能力。
 
@@ -41,6 +40,14 @@ Dify 具有模型中立性，相较 LangChain 等硬编码开发库 Dify 是一
 **4. Agent**：基于函数调用的 Agent框架，允许用户自定义配置，所见即所得。Dify 提供了基本的插件能力，如谷歌搜索。
 
 **5. 持续运营**：监控和分析应用日志和性能，使用生产数据持续改进 Prompt、数据集或模型。
+
+## 在开始之前
+
+- [网站](https://dify.ai)
+- [文档](https://docs.dify.ai)
+- [部署文档](https://docs.dify.ai/getting-started/install-self-hosted)
+- [常见问题](https://docs.dify.ai/getting-started/faq)
+
 ## 安装社区版
 
 ### 系统要求