This is the Windows app named PageIndex whose latest release can be downloaded as PageIndexsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
PageIndex
DESCRIPTION:
PageIndex is an innovative open-source framework that reimagines retrieval-augmented generation (RAG) by eliminating conventional vector similarity search and instead building hierarchical semantic indexes that mirror a document’s natural structure. Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections of long documents. This reasoning-driven retrieval aligns more naturally with how humans explore complex texts, improving relevance and traceability, especially in professional domains like financial reports, legal contracts, and technical manuals. The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries.
Features
- Reasoning-based hierarchical document indexing
- No vector database or chunk embedding required
- Tree search retrieval optimized for long texts
- Support for PDF and markdown documents
- Cookbooks and examples for hands-on experimentation
- Better explainability and traceability than traditional RAG
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pageindex.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.