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@ -68,7 +68,7 @@ Compared to traditional vector-based RAG, **PageIndex** features:
- **Context-Aware Retrieval**: Retrieval depends on your full context (e.g., conversation history and domain knowledge), and easily incorporates new context. - **Context-Aware Retrieval**: Retrieval depends on your full context (e.g., conversation history and domain knowledge), and easily incorporates new context.
- **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.
PageIndex powers a reasoning-based RAG system that achieved **state-of-the-art** [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, vastly outperforming vector-based RAG on professional documents (see our [blog post](https://vectify.ai/blog/Mafin2.5)). PageIndex powers a reasoning-based RAG system that achieved **state-of-the-art** [98.7% accuracy](https://github.com/VectifyAI/Mafin2.5-FinanceBench) on FinanceBench, vastly outperforming vector-based RAG solutions on professional document analysis ([blog post](https://vectify.ai/blog/Mafin2.5)).
### 📍 Explore PageIndex ### 📍 Explore PageIndex