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About

PageIndex is a human-like document AI platform for understanding long, complex documents with precise, verifiable answers grounded directly in the source. It uses vectorless, reasoning-based retrieval instead of embeddings, chunking, or vector databases, transforming each document into a tree-structured index that mirrors how people navigate sections, subsections, pages, and content. An LLM then reasons over that structure to decide where to look for relevant information, producing context-aware retrieval that is traceable and explainable. Users can upload reports, filings, research papers, technical manuals, legal documents, medical files, textbooks, and business plans, then ask questions with line-level citations that can be reviewed and verified. PageIndex supports ultra-long documents spanning thousands of pages and understands text, tables, charts, figures, and images.

About

Combine semantic relevance and user feedback to reliably retrieve the optimal document chunks in your retrieval augmented generation system. Combine semantic relevance and document freshness in your search system, because more recent results tend to be more accurate. Build a real-time personalized ecommerce product feed with user vectors constructed from SKU embeddings the user interacted with. Discover behavioral clusters of your customers using a vector index in your data warehouse. Describe and load your data, use spaces to construct your indices and run queries - all in-memory within a Python notebook.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers, professionals, developers, and enterprise teams seeking to retrieve, analyze, and verify information from long, complex documents using reasoning-based AI

Audience

Organizations wanting a data engineer solution to turn data into vector embeddings

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

PageIndex
Founded: 2023
United Kingdom
pageindex.ai/

Company Information

Superlinked
Founded: 2021
United States
superlinked.com

Alternatives

Alternatives

Unsiloed

Unsiloed

Unsiloed.ai
txtai

txtai

NeuML

Categories

Categories

Integrations

Model Context Protocol (MCP) Supported
Python Not Supported
Weaviate Not Supported

Integrations

Model Context Protocol (MCP) Not Supported
Python Supported
Weaviate Supported
Claim PageIndex and update features and information
Claim PageIndex and update features and information
Claim Superlinked and update features and information
Claim Superlinked and update features and information