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@ -75,10 +75,15 @@ PageIndex powers a reasoning-based RAG system that achieved [98.7% accuracy](htt
- Experiment with the [*Vision-based Vectorless RAG*](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/vision_RAG_pageindex.ipynb) — no OCR; a minimal, reasoning-native RAG pipeline that works directly over page images. - Experiment with the [*Vision-based Vectorless RAG*](https://github.com/VectifyAI/PageIndex/blob/main/cookbook/vision_RAG_pageindex.ipynb) — no OCR; a minimal, reasoning-native RAG pipeline that works directly over page images.
<p align="center"> <p align="center">
<a href="https://colab.research.google.com/github/VectifyAI/PageIndex/blob/main/cookbook/pageindex_RAG_simple.ipynb"> <div align="center">
<img src="https://img.shields.io/badge/Open_In_Colab-Vectorless_RAG_With_PageIndex-orange?style=for-the-badge&logo=googlecolab" alt="Open in Colab"/> <a href="https://colab.research.google.com/github/VectifyAI/PageIndex/blob/main/cookbook/pageindex_RAG_simple.ipynb" target="_blank" rel="noopener">
<img src="https://img.shields.io/badge/Open_In_Colab-Vectorless_RAG-orange?style=for-the-badge&logo=googlecolab" alt="Open in Colab: Vectorless RAG" />
</a> </a>
</p> &nbsp;&nbsp;
<a href="https://colab.research.google.com/github/VectifyAI/PageIndex/blob/main/cookbook/vision_RAG_pageindex.ipynb" target="_blank" rel="noopener">
<img src="https://img.shields.io/badge/Open_In_Colab-Vision_RAG-orange?style=for-the-badge&logo=googlecolab" alt="Open in Colab: Vision RAG" />
</a>
</div>
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@ -188,13 +193,13 @@ To address this, we introduced PageIndex OCR — the first long-context OCR mode
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# 📈 Case Study: Mafin 2.5 on FinanceBench # 📈 Case Study: SOTA on Finance QA Benchmark
[Mafin 2.5](https://vectify.ai/mafin) is a state-of-the-art reasoning-based RAG model designed specifically for financial document analysis. Powered by **PageIndex**, it achieved a market-leading [**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 reasoing-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 enabled precise navigation and extraction of relevant content from complex financial reports, such as SEC filings and earnings disclosures. PageIndex's hierarchical indexing enabled precise navigation and extraction of relevant content from complex financial reports, such as SEC filings and earnings disclosures.
👉 See the full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) and our [blog post](https://vectify.ai/blog/Mafin2.5) for detailed comparisons and performance metrics. 👉 Explore the full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) and our [blog post](https://vectify.ai/blog/Mafin2.5) for detailed comparisons and performance metrics.
<div align="center"> <div align="center">
<a href="https://github.com/VectifyAI/Mafin2.5-FinanceBench"> <a href="https://github.com/VectifyAI/Mafin2.5-FinanceBench">