From 2dd0ae901c90ecb77df0646b71fc2695325b3e54 Mon Sep 17 00:00:00 2001
From: Jin Hai <haijin.chn@gmail.com>
Date: Mon, 20 May 2024 20:58:00 +0800
Subject: [PATCH] Update

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
---
 README.md                 |  4 ++--
 README_cn.md              |  4 ++--
 docs/ragflow/README.md    | 14 ++++++++++++++
 docs/ragflow/README_cn.md | 14 ++++++++++++++
 4 files changed, 32 insertions(+), 4 deletions(-)
 create mode 100644 docs/ragflow/README.md
 create mode 100644 docs/ragflow/README_cn.md

diff --git a/README.md b/README.md
index faf7cbe..116816b 100644
--- a/README.md
+++ b/README.md
@@ -48,8 +48,8 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
 ### RAG framework
 <table>
     <tr>
-        <td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="160" height="auto" /> </td>
-        <td> <a href="https://github.com/infiniflow/ragflow">RAGFlow</a> </td>
+        <td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="64" height="auto" /> </td>
+        <td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README.md"> RAGFlow </a> </td>
         <td> An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data. </td>
     </tr>
 </table>
diff --git a/README_cn.md b/README_cn.md
index 52a99a5..e4fe38c 100644
--- a/README_cn.md
+++ b/README_cn.md
@@ -47,8 +47,8 @@
 ### RAG 框架
 <table>
     <tr>
-        <td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="160" height="auto" /> </td>
-        <td> <a href="https://github.com/infiniflow/ragflow">RAGFlow</a> </td>
+        <td> <img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="64" height="auto" /> </td>
+        <td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/ragflow/README_cn.md"> RAGFlow </a> </td>
         <td> 一款基于深度文档理解构建的开源 RAG(Retrieval-Augmented Generation)引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程,结合大语言模型(LLM)针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。 </td>
     </tr>
 </table>
diff --git a/docs/ragflow/README.md b/docs/ragflow/README.md
new file mode 100644
index 0000000..850aa92
--- /dev/null
+++ b/docs/ragflow/README.md
@@ -0,0 +1,14 @@
+<img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="64" height="auto" />
+
+# [RAGFlow](https://github.com/infiniflow/ragflow)
+
+An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data.
+
+## UI
+
+![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/a69ce143-931c-4a75-b129-f6a1ddd114a2)
+
+
+## Integrate with Deepseek API
+
+![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/49dc1916-c3c2-470a-a3ea-b5877de52958)
diff --git a/docs/ragflow/README_cn.md b/docs/ragflow/README_cn.md
new file mode 100644
index 0000000..b5ddf22
--- /dev/null
+++ b/docs/ragflow/README_cn.md
@@ -0,0 +1,14 @@
+<img src="https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/77093e84-9f7c-4716-9168-bac962fa1372" alt="Icon" width="64" height="auto" />
+
+# [RAGFlow](https://github.com/infiniflow/ragflow)
+
+一款基于深度文档理解构建的开源 RAG(Retrieval-Augmented Generation)引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程,结合大语言模型(LLM)针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。
+
+## UI
+
+![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/a69ce143-931c-4a75-b129-f6a1ddd114a2)
+
+
+## 配置 Deepseek API
+
+![image](https://github.com/deepseek-ai/awesome-deepseek-integration/assets/33142505/514b87e3-2eef-4dd2-b21d-88bb3f381573)