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<summary><h2>📢 Latest Updates</h2></summary> <summary><h2>📢 Latest Updates</h2></summary>
**🔥 Releases:** **🔥 Releases:**
- [**PageIndex Chat**](https://chat.pageindex.ai): The first human-like document-analysis agent platform built for professional long documents. It can also be integrated via the [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart) (beta). - [**PageIndex Chat**](https://chat.pageindex.ai): The first human-like document-analysis agent platform built for professional long documents. Can also be integrated via [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart) (beta).
<!-- - [**PageIndex Chat API**](https://docs.pageindex.ai/quickstart): An API that brings PageIndex’s advanced long-document intelligence directly into your applications and workflows. --> <!-- - [**PageIndex Chat API**](https://docs.pageindex.ai/quickstart): An API that brings PageIndex’s advanced long-document intelligence directly into your applications and workflows. -->
<!-- - [PageIndex MCP](https://pageindex.ai/mcp): Bring PageIndex into Claude, Cursor, or any MCP-enabled agent. Chat with long PDFs in a reasoning-based, human-like way. --> <!-- - [PageIndex MCP](https://pageindex.ai/mcp): Bring PageIndex into Claude, Cursor, or any MCP-enabled agent. Chat with long PDFs in a reasoning-based, human-like way. -->
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<!-- - [Do We Still Need OCR?](https://pageindex.ai/blog/do-we-need-ocr): Explores how vision-based, reasoning-native RAG challenges the traditional OCR pipeline, and why the future of document AI might be *vectorless* and *vision-based*. --> <!-- - [Do We Still Need OCR?](https://pageindex.ai/blog/do-we-need-ocr): Explores how vision-based, reasoning-native RAG challenges the traditional OCR pipeline, and why the future of document AI might be *vectorless* and *vision-based*. -->
**🧪 Cookbooks:** **🧪 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. - [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.
- [Vision-based Vectorless RAG](https://docs.pageindex.ai/cookbook/vision-rag-pageindex): Experience OCR-free document understanding through PageIndex’s visual retrieval workflow that retrieves and reasons directly over PDF page images. - [Vision-based Vectorless RAG](https://docs.pageindex.ai/cookbook/vision-rag-pageindex): Experience OCR-free document understanding with PageIndex’s visual retrieval workflow that retrieves and reasons directly over PDF page images.
</details> </details>
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@ -74,6 +74,7 @@ Please see a detailed introduction of the [PageIndex framework](https://pageinde
### ⚙️ Deployment Options ### ⚙️ Deployment Options
- Self-host — run locally with this open-source repo. - Self-host — run locally with this open-source repo.
- Cloud Service — try instantly with our [Chat Platform](https://chat.pageindex.ai/), or integrate with [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart). - Cloud Service — try instantly with our [Chat Platform](https://chat.pageindex.ai/), or integrate with [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart).
- Enterprise — private or on-prem deployment. [Contact us](https://ii2abc2jejf.typeform.com/to/tK3AXl8T) or [book a demo](https://calendly.com/pageindex/meet).
### 🧪 Quick Hands-on ### 🧪 Quick Hands-on
@ -194,15 +195,13 @@ To address this, we introduced PageIndex OCR — the first long-context OCR mode
<p align="center"> <p align="center">
<img src="https://github.com/user-attachments/assets/eb35d8ae-865c-4e60-a33b-ebbd00c41732" width="80%"> <img src="https://github.com/user-attachments/assets/eb35d8ae-865c-4e60-a33b-ebbd00c41732" width="80%">
</p> </p>
---
--> -->
--- ---
# 📈 Case Study: PageIndex Leads Finance QA Benchmark # 📈 Case Study: PageIndex Leads Finance QA Benchmark
[Mafin 2.5](https://vectify.ai/mafin) is a reasoning-based RAG system for financial document analysis, powered by **PageIndex**. It achieved a state-of-the-art [**98.7% accuracy**](https://vectify.ai/blog/Mafin2.5) on the [FinanceBench](https://arxiv.org/abs/2311.11944) benchmark — significantly outperforming traditional vector-based RAG systems. [Mafin 2.5](https://vectify.ai/mafin) is a reasoning-based RAG system for financial document analysis, powered by **PageIndex**. It achieved a state-of-the-art [**98.7% accuracy**](https://vectify.ai/blog/Mafin2.5) on the [FinanceBench](https://arxiv.org/abs/2311.11944) benchmark, significantly outperforming traditional vector-based RAG systems.
PageIndex's hierarchical indexing and reasoning-driven retrieval enable precise navigation and extraction of relevant context from complex financial reports, such as SEC filings and earnings disclosures. PageIndex's hierarchical indexing and reasoning-driven retrieval enable precise navigation and extraction of relevant context from complex financial reports, such as SEC filings and earnings disclosures.
@ -220,20 +219,20 @@ Explore the full [benchmark results](https://github.com/VectifyAI/Mafin2.5-Finan
* 🧪 [Cookbooks](https://docs.pageindex.ai/cookbook/vectorless-rag-pageindex): hands-on, runnable examples and advanced use cases. * 🧪 [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*. * 📖 [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 * 📝 [Blog](https://pageindex.ai/blog): technical articles, research insights, and product updates.
* ⚙️ [MCP setup](https://pageindex.ai/mcp#quick-setup) & [API docs](https://docs.pageindex.ai/quickstart): integration details and configuration options. * ⚙️ [MCP setup](https://pageindex.ai/mcp#quick-setup) & [API docs](https://docs.pageindex.ai/quickstart): integration details and configuration options.
--- ---
# ⭐ Support Us # ⭐ Support Us
Leave a star if you like our project. Thank you! Leave us a star 🌟 if you like our project. Thank you!
<p> <p>
<img src="https://github.com/user-attachments/assets/eae4ff38-48ae-4a7c-b19f-eab81201d794" width="80%"> <img src="https://github.com/user-attachments/assets/eae4ff38-48ae-4a7c-b19f-eab81201d794" width="80%">
</p> </p>
### Connect with Us ### 💬 Connect with Us
[![Twitter](https://img.shields.io/badge/Twitter-000000?style=for-the-badge&logo=x&logoColor=white)](https://x.com/VectifyAI)&nbsp; [![Twitter](https://img.shields.io/badge/Twitter-000000?style=for-the-badge&logo=x&logoColor=white)](https://x.com/VectifyAI)&nbsp;
[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/vectify-ai/)&nbsp; [![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/vectify-ai/)&nbsp;