From 7d627010483f19bcef4824bc2e2e143f7bd277de Mon Sep 17 00:00:00 2001
From: Bryan <bugatti_it@163.com>
Date: Fri, 21 Feb 2025 11:59:13 +0800
Subject: [PATCH] perf: Update README.md Icon size (#294)

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 8b8a667..bff2c4c 100644
--- a/README.md
+++ b/README.md
@@ -307,17 +307,17 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
 
 <table>
     <tr>
-        <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 width="80"> <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>
     <tr>
-        <td> <img src="https://raw.githubusercontent.com/pingcap/tidb.ai/main/frontend/app/public/nextra/icon-dark.svg" alt="Icon" width="64" height="auto" /> </td>
+        <td width="80"> <img src="https://raw.githubusercontent.com/pingcap/tidb.ai/main/frontend/app/public/nextra/icon-dark.svg" alt="Icon" width="64" height="auto" /> </td>
         <td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/autoflow/README.md"> Autoflow </a> </td>
         <td> <a href="https://github.com/pingcap/autoflow">AutoFlow</a> is an open-source knowledge base tool based on GraphRAG (Graph-based Retrieval-Augmented Generation), built on <a href="https://www.pingcap.com/ai?utm_source=tidb.ai&utm_medium=community">TiDB</a> Vector, LlamaIndex, and DSPy. It provides a Perplexity-like search interface and allows easy integration of AutoFlow's conversational search window into your website by embedding a simple JavaScript snippet. </td>
     </tr>
     <tr>
-        <td> <img src="https://assets.zilliz.com/Zilliz_Logo_Mark_White_20230223_041013_86057436cc.png" alt="Icon" width="64" height="auto" /> </td>
+        <td width="80"> <img src="https://assets.zilliz.com/Zilliz_Logo_Mark_White_20230223_041013_86057436cc.png" alt="Icon" width="64" height="auto" /> </td>
         <td> <a href="https://github.com/zilliztech/deep-searcher"> DeepSearcher </a> </td>
         <td> DeepSearcher combines powerful LLMs (DeepSeek, OpenAI, etc.) and Vector Databases (Milvus, etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report.  </td>
     </tr>

		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.
		Autoflow	AutoFlow is an open-source knowledge base tool based on GraphRAG (Graph-based Retrieval-Augmented Generation), built on TiDB Vector, LlamaIndex, and DSPy. It provides a Perplexity-like search interface and allows easy integration of AutoFlow's conversational search window into your website by embedding a simple JavaScript snippet.
		DeepSearcher	DeepSearcher combines powerful LLMs (DeepSeek, OpenAI, etc.) and Vector Databases (Milvus, etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report.