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<h4 align="center"> <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">🖥️ Platform</a>&nbsp; • &nbsp; <a href="https://chat.pageindex.ai">🖥️ Chat Platform</a>&nbsp; • &nbsp;
<a href="https://pageindex.ai/mcp">🔌 MCP</a>&nbsp; • &nbsp; <a href="https://pageindex.ai/mcp">🔌 MCP</a>&nbsp; • &nbsp;
<a href="https://docs.pageindex.ai/quickstart">📚 API</a>&nbsp; • &nbsp; <a href="https://docs.pageindex.ai/quickstart">📚 API Docs</a>&nbsp; • &nbsp;
<a href="https://discord.com/invite/VuXuf29EUj">💬 Discord</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; <a href="https://ii2abc2jejf.typeform.com/to/tK3AXl8T">✉️ Contact</a>&nbsp;
</h4> </h4>
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<details open> <details open>
<summary><h2>📢 Recent Updates</h2></summary> <summary><h2>📢 Recent Updates</h2></summary>
**🚀 New Releases:** **🔥 New Releases:**
- [🔥 **PageIndex Chat**](https://chat.pageindex.ai): - [**PageIndex Chat**](https://chat.pageindex.ai): The first human-like document-analysis agent platform built for professional long documents. Could also be integrated via the [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart) (beta).
The first human-like document-analysis agent platform built for professional long documents — also available via the [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. -->
**✍️ Articles:**
- [**PageIndex Framework**](https://pageindex.ai/blog/pageindex-intro): Introduces the PageIndex framework — an *agentic, in-context* *tree index* that enables LLMs to perform *reasoning-based*, *human-like retrieval* over long documents, without vector DB or chunking.
<!-- - [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 notebook**](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/pageindex_RAG_simple.ipynb): 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 notebook](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/vision_RAG_pageindex.ipynb): 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 through PageIndex’s visual retrieval workflow that retrieves and reasons directly over PDF page images.
**📜 Articles:**
* ⭐ [**The PageIndex Overview**](https://pageindex.ai/blog/pageindex-intro): Introduces the PageIndex framework — an *agentic, in-context* **tree index** that enables LLMs to perform **reasoning-based, human-like retrieval** over long documents, without vector DB or chunking.
* [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*.
</details> </details>
# 📑 Introduction to PageIndex # 📑 Introduction to PageIndex
Are you frustrated with vector database retrieval accuracy for long professional documents? Traditional vector-based RAG relies on semantic *similarity* rather than true *relevance*. But **similarity ≠ relevance** — what we truly need in retrieval is **relevance**, and that requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short. Are you frustrated with vector database retrieval accuracy for long professional documents? Traditional vector-based RAG relies on semantic *similarity* rather than true *relevance*. But **similarity ≠ relevance** — what we truly need in retrieval is **relevance**, and that requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short.
@ -64,13 +62,17 @@ Compared to traditional *vector-based RAG*, **PageIndex** features:
- **No Vector DB**: Uses document structure and LLM reasoning for retrieval, instead of vector search. - **No Vector DB**: Uses document structure and LLM reasoning for retrieval, instead of vector search.
- **No Chunking**: Documents are organized into natural sections, not artificial chunks. - **No Chunking**: Documents are organized into natural sections, not artificial chunks.
- **Human-like Retrieval**: Simulates how human experts navigate and extract knowledge from complex documents. - **Human-like Retrieval**: Simulates how human experts navigate and extract knowledge from complex documents.
- **Transparent Retrieval Process**: Retrieval based on reasoning — traceable and interpretable. Say goodbye to approximate vector search ("vibe retrieval"). - **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 [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, demonstrating **state-of-the-art** performance 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 [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, demonstrating **state-of-the-art** performance in professional document analysis (see our [blog post](https://vectify.ai/blog/Mafin2.5) for details).
### 📍 Explore PageIndex
Please see a detailed introduction of the [PageIndex framework](https://pageindex.ai/blog/pageindex-intro). Check out this GitHub repo for open-source implementations, and our [cookbook](https://docs.pageindex.ai/cookbook) and [tutorials](https://docs.pageindex.ai/tutorials) for more examples. The PageIndex service is available as a ChatGPT-style [chat platform](https://chat.pageindex.ai), or could be integrated via [MCP](https://pageindex.ai/mcp) or [API](https://docs.pageindex.ai/quickstart).
### ⚙️ 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 🖥️ [Platform](https://chat.pageindex.ai/), 🔌 [MCP](https://pageindex.ai/mcp) or 📚 [API](https://docs.pageindex.ai/quickstart). - ☁️ **Cloud Service** — try instantly with our 🖥️ [Chat Platform](https://chat.pageindex.ai/), 🔌 [MCP](https://pageindex.ai/mcp) or 📚 [API](https://docs.pageindex.ai/quickstart).
### 🧪 Quick Hands-on ### 🧪 Quick Hands-on