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# PageIndex
### **Document Index System for Reasoning-Based RAG**
Frustrated with vector database retrieval accuracy for long professional documents? You need a reasoning-based native index for your RAG system.
Are you frustrated with vector database retrieval accuracy for long professional documents? You need a reasoning-based native index for your RAG system.
Traditional vector-based retrieval relies heavily on semantic similarity. But when working with professional documents that require domain expertise and multi-step reasoning, similarity search often falls short.
Traditional vector-based retrieval relies heavily on semantic similarity. However, when working with professional documents that require domain expertise and multi-step reasoning, similarity search often falls short.
**Reasoning-Based RAG** offers a better alternative: enabling LLMs to *think* and *reason* their way to the most relevant document sections. Inspired by **AlphaGo**, we leverage **tree search** to perform structured document retrieval.
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Enables LLMs to traverse documents logically—like an intelligent, LLM-optimized table of contents.
- **Precise Page Referencing**
Every node contains its own summary and start/end page physical index, allowing pinpoint retrieval.
Every node contains its summary and start/end page physical index, allowing pinpoint retrieval.
- **Chunk-Free Segmentation**
No arbitrary chunking. Nodes follow the natural structure of the document.
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👉 See full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) for detailed comparisons and performance metrics.
## 🚧 Notice
This project is in its early beta development, and all progress will remain open and transparent.
Due to the non-deterministic nature of large language models (LLMs) and the diverse structures of PDF documents, you may encounter bugs or instability during usage.
We welcome you to raise issues, reach out with questions, or contribute directly to the project.
Together, let's push forward the revolution of reasoning-based RAG systems.
## 📬 Contact Us
Need customized support for your documents or reasoning-based RAG system?
:loudspeaker: [Join our Discord](https://discord.com/invite/nnyyEdT2RG)
:envelope: [Leave us a Message](https://ii2abc2jejf.typeform.com/to/meB40zV0)
:envelope: [Leave us a message](https://ii2abc2jejf.typeform.com/to/meB40zV0)