Update README

Author: rejojer

README.md

@@ -16,10 +16,10 @@
 <p align="center"><b>Reasoning-based RAG&nbsp; ◦ &nbsp;No Vector DB&nbsp; ◦ &nbsp;No Chunking&nbsp; ◦ &nbsp;Human-like Retrieval</b></p>
 
 <h4 align="center">
-  <a href="https://vectify.ai">🏠 Homepage</a>&nbsp; • &nbsp;
+  <a href="https://vectify.ai">🌐 Homepage</a>&nbsp; • &nbsp;
   <a href="https://chat.pageindex.ai">🖥️ Chat Platform</a>&nbsp; • &nbsp;
-  <a href="https://pageindex.ai/developer">🔌 MCP</a>&nbsp; • &nbsp;
-  <a href="https://docs.pageindex.ai">📚 Docs</a>&nbsp; • &nbsp;
+  <a href="https://pageindex.ai/developer">🔌 MCP & API</a>&nbsp; • &nbsp;
+  <a href="https://docs.pageindex.ai">📖 Docs</a>&nbsp; • &nbsp;
   <a href="https://discord.com/invite/VuXuf29EUj">💬 Discord</a>&nbsp; • &nbsp;
   <a href="https://ii2abc2jejf.typeform.com/to/tK3AXl8T">✉️ Contact</a>&nbsp;
 </h4>
@@ -30,9 +30,9 @@
 <details open>
 <summary><h2>📢 Updates</h2></summary>
 
-- 🔥 [**Agentic Vectorless RAG**](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py): A simple *agentic, vectorless RAG* [example](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) with self-hosted PageIndex, using OpenAI Agents SDK.
-- [PageIndex Chat](https://chat.pageindex.ai): A Human-like document analysis agent [platform](https://chat.pageindex.ai) for professional long documents. Also available via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer).
-- [PageIndex Framework](https://pageindex.ai/blog/pageindex-intro): The PageIndex framework — an *agentic, in-context tree index* that enables LLMs to perform *reasoning-based, human-like retrieval* over long documents.
+- 🔥 [**Agentic Vectorless RAG**](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) — A simple *agentic, vectorless RAG* [example](https://github.com/VectifyAI/PageIndex/blob/main/examples/agentic_vectorless_rag_demo.py) with self-hosted PageIndex, using OpenAI Agents SDK.
+- [PageIndex Chat](https://chat.pageindex.ai) — Human-like document analysis agent [platform](https://chat.pageindex.ai) for professional long documents. Also available via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer).
+- [PageIndex Framework](https://pageindex.ai/blog/pageindex-intro) — Deep dive into PageIndex: an *agentic, in-context tree index* that enables LLMs to perform *reasoning-based, human-like retrieval* over long documents.
 
  <!-- **🧪 Cookbooks:**
 - [Vectorless RAG](https://docs.pageindex.ai/cookbook/vectorless-rag-pageindex): A minimal, hands-on example of reasoning-based RAG using PageIndex. No vectors, no chunking, and human-like retrieval.
@@ -66,11 +66,11 @@ Compared to traditional vector-based RAG, **PageIndex** features:
 - **Human-like Retrieval**: Simulates how human experts navigate and extract knowledge from complex documents.
 - **Better Explainability and Traceability**: Retrieval is based on reasoning — traceable and interpretable, with page and section references. No more opaque, approximate vector search (“vibe retrieval”).
 
-PageIndex powers a reasoning-based RAG system that achieved **state-of-the-art** [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, demonstrating superior performance over vector-based RAG solutions in professional document analysis (see our [blog post](https://vectify.ai/blog/Mafin2.5) for details).
+PageIndex powers a reasoning-based RAG system that achieved **state-of-the-art** [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, demonstrating superior performance over vector-based RAG solutions in professional document analysis. See our [blog post](https://vectify.ai/blog/Mafin2.5) for details.
 
 ### 📍 Explore PageIndex
 
-To learn more, please see a detailed introduction of the [PageIndex framework](https://pageindex.ai/blog/pageindex-intro). Check out this GitHub repo for open-source code, and the [cookbooks](https://docs.pageindex.ai/cookbook), [tutorials](https://docs.pageindex.ai/tutorials), and [blog](https://pageindex.ai/blog) for additional usage guides and examples.
+To learn more, please see a detailed introduction to the [PageIndex framework](https://pageindex.ai/blog/pageindex-intro). Check out this GitHub repo for open-source code, and the [cookbooks](https://docs.pageindex.ai/cookbook), [tutorials](https://docs.pageindex.ai/tutorials), and [blog](https://pageindex.ai/blog) for additional usage guides and examples.
 
 The PageIndex service is available as a ChatGPT-style [chat platform](https://chat.pageindex.ai), or can be integrated via [MCP](https://pageindex.ai/developer) or [API](https://pageindex.ai/developer).
 
@@ -191,9 +191,9 @@ python3 run_pageindex.py --md_path /path/to/your/document.md
 > Note: in this mode, we use "#" to determine node headings and their levels. For example, "##" is level 2, "###" is level 3, etc. Make sure your markdown file is formatted correctly. If your Markdown file was converted from a PDF or HTML, we don't recommend using this mode, since most existing conversion tools cannot preserve the original hierarchy. Instead, use our [PageIndex OCR](https://pageindex.ai/blog/ocr), which is designed to preserve the original hierarchy, to convert the PDF to a markdown file and then use this mode.
 </details>
 
-### Agentic Vectorless RAG Example
+## Agentic Vectorless RAG: An Example
 
-For a simple, end-to-end _**agentic vectorless RAG**_ example using PageIndex (with OpenAI Agents SDK), see [`examples/agentic_vectorless_rag_demo.py`](examples/agentic_vectorless_rag_demo.py).
+For a simple, end-to-end _**agentic vectorless RAG**_ example using PageIndex with OpenAI Agents SDK, see [`examples/agentic_vectorless_rag_demo.py`](examples/agentic_vectorless_rag_demo.py).
 
 ```bash
 # Install optional dependency
@@ -238,14 +238,21 @@ Explore the full [benchmark results](https://github.com/VectifyAI/Mafin2.5-Finan
 
 # 🧭 Resources
 
-* 🧪 [Cookbooks](https://docs.pageindex.ai/cookbook/vectorless-rag-pageindex): hands-on, runnable examples and advanced use cases.
-* 📖 [Tutorials](https://docs.pageindex.ai/doc-search): practical guides and strategies, including *Document Search* and *Tree Search*.
 * 📝 [Blog](https://pageindex.ai/blog): technical articles, research insights, and product updates.
 * 🔧 [Developer](https://pageindex.ai/developer): MCP setup, API docs, and integration guides.
+* 🧪 [Cookbooks](https://docs.pageindex.ai/cookbook): hands-on, runnable examples and advanced use cases.
+* 📖 [Tutorials](https://docs.pageindex.ai/tutorials): practical guides and strategies, including *Document Search* and *Tree Search*.
 
 ---
 
 # ⭐ Support Us
+
+Leave us a star 🌟 if you like our project. Thank you!  
+
+<p>
+  <img src="https://github.com/user-attachments/assets/eae4ff38-48ae-4a7c-b19f-eab81201d794" width="80%">
+</p>
+
 Please cite this work as:
 ```
 Mingtian Zhang, Yu Tang and PageIndex Team,
@@ -268,19 +275,18 @@ PageIndex Blog, Sep 2025.
 ```
 </details>
 
-Leave us a star 🌟 if you like our project. Thank you!  
-
-<p>
-  <img src="https://github.com/user-attachments/assets/eae4ff38-48ae-4a7c-b19f-eab81201d794" width="80%">
-</p>
 
 ### Connect with Us
 
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-[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/vectify-ai/)&nbsp;
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+<div align="center">
+
+[![Twitter](https://img.shields.io/badge/Twitter-000000?style=for-the-badge&logo=x&logoColor=white)](https://x.com/PageIndexAI)&ensp;
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/vectify-ai/)&ensp;
+[![Discord](https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.com/invite/VuXuf29EUj)&ensp;
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+</div>
+
 ---
 
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