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</a> </a>
</div> </div>
### ⚠️ Bug Fix Notice
A bug introduced on **April 18** has now been fixed.
If you pulled the repo between **April 18–23**, please update to the latest version:
```bash
git pull origin main
```
Thanks for your understanding 🙏
# 📄 PageIndex # 📄 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.
@ -82,6 +69,21 @@ Here is an example output. See more [example documents](https://github.com/Vecti
... ...
``` ```
---
### ⚠️ Bug Fix Notice
A bug introduced on **April 18** has now been fixed.
If you pulled the repo between **April 18–23**, please update to the latest version:
```bash
git pull origin main
```
Thanks for your understanding 🙏
--- ---
# 🚀 Package Usage # 🚀 Package Usage
@ -133,11 +135,16 @@ Leave your email in [this form](https://ii2abc2jejf.typeform.com/to/meB40zV0) to
# 📈 Case Study: Mafin 2.5 # 📈 Case Study: Mafin 2.5
[Mafin 2.5](https://vectify.ai/blog/Mafin2.5) is a state-of-the-art reasoning-based RAG model designed specifically for financial document analysis. Built on top of **PageIndex**, it achieved an impressive **98.7% accuracy** on the [FinanceBench](https://github.com/VectifyAI/Mafin2.5-FinanceBench) benchmark — significantly outperforming traditional vector-based RAG systems. [Mafin 2.5](https://vectify.ai/) is a state-of-the-art reasoning-based RAG model designed specifically for financial document analysis. Built on top of **PageIndex**, it achieved a market-leading **98.7% accuracy** on the [FinanceBench](https://github.com/VectifyAI/Mafin2.5-FinanceBench) 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 full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) for detailed comparisons and performance metrics. 👉 See our [blog post](https://vectify.ai/blog/Mafin2.5) and full [benchmark results](https://github.com/VectifyAI/Mafin2.5-FinanceBench) for detailed comparisons and performance metrics.
<div align="center">
<img src="https://github.com/user-attachments/assets/571aa074-d803-43c7-80c4-a04254b782a3" width="80%">
</div>
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@ -183,7 +190,7 @@ Reply in the following JSON format:
}} }}
""" """
``` ```
For more examples, see the [API dashboard](https://pageindex.vectify.ai/). 👉 For more examples, see the [PageIndex Dashboard](https://pageindex.vectify.ai/).
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