Related Products
|
||||||
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/
|
Reviews/
|
|||||
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 InformationPageIndex
Founded: 2023
United Kingdom
pageindex.ai/
|
Company InformationSuperlinked
Founded: 2021
United States
superlinked.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
||||||
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
|
|||||
|
|
|