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PageIndex

Human-like AI for understanding long documents with high accuracy.

30.5K stars2.6K forksPythonMITActive this week

What PageIndex does

PageIndex

PageIndex is a cutting-edge AI tool designed to enhance document understanding by mimicking human reading patterns. It utilizes a vectorless, reasoning-based retrieval approach, allowing users to extract precise and verifiable insights from complex documents. With an impressive accuracy rate of 98.7% on FinanceBench, PageIndex ensures that every answer is traceable and explainable, making it ideal for various applications in finance, IT, and more.

Key Features:

  • Human-like Understanding: Processes documents as humans do, ensuring contextual comprehension.
  • High Accuracy: Achieves 98.7% accuracy on FinanceBench, making it reliable for critical applications.
  • Traceable Retrieval: Provides explainable answers with full context traces, enhancing trust in AI outputs.
  • Flexible Deployment: Available as an MCP and API for developers, with enterprise-grade security for businesses.

Use Cases:

  • Finance & Fintech: Analyze financial documents for insights and compliance.
  • Customer Support: Enhance support systems with accurate document retrieval.
  • IT Management: Streamline documentation processes and improve knowledge management.

GitHub Activity

Last commit

today

Last synced

May 11, 2026

30.5KStars
2.6KForks
147Open Issues
MITLicense

Tech Stack

Detected via GitHub

Languages

Python

Details

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