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Bring PageIndex into Claude, Cursor, and any MCP-enabled agent. Chat to long PDFs the human-like, reasoning-based way 📖 Bring PageIndex into Claude, Cursor, and any MCP-enabled agent. Chat to long PDFs the human-like, reasoning-based way 📖
# 📄 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.
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PageIndex powers a reasoning-based RAG system that achieved [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, showing 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, showing state-of-the-art performance in professional document analysis (see our [blog post](https://vectify.ai/blog/Mafin2.5) for details).
### 🚀 Deployment Options ### ⚙️ Deployment Options
- 🛠️ Self-host — run locally with this open-source repo - 🛠️ Self-host — run locally with this open-source repo
- ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — try instantly with our 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), no setup required - ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — try instantly with our 🚀 [Agent](https://chat.pageindex.ai/), 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), no setup required
### ⚡ Quick Hands-on ### ⚡ Quick Hands-on
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... ...
``` ```
You can either generate the PageIndex tree structure with this open-source repo or try our ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — instantly accessible via our 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), with no setup required. You can either generate the PageIndex tree structure with this open-source repo or try our ☁️ **[Cloud Service](https://dash.pageindex.ai/)** — instantly accessible via our 🚀 [Agent](https://chat.pageindex.ai/), 🖥️ [Dashboard](https://dash.pageindex.ai/) or 🔌 [API](https://docs.pageindex.ai/quickstart), with no setup required.
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# 🚀 Package Usage # Package Usage
You can follow these steps to generate a PageIndex tree from a PDF document. You can follow these steps to generate a PageIndex tree from a PDF document.