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What is PageIndex?

PageIndex stands out as a sophisticated AI platform focused on understanding complex and lengthy documents, delivering precise and verifiable answers that are closely tied to the original materials. Instead of utilizing techniques like embeddings, chunking, or vector databases, it adopts a reasoning-based retrieval approach that organizes each document into a tree-like structure, mirroring how people typically navigate through sections, subsections, pages, and various content types. A reasoning model meticulously examines this hierarchy to pinpoint relevant information, facilitating context-aware retrieval that remains both transparent and easily explainable. Users can upload a diverse array of documents, including reports, legal contracts, academic papers, technical guides, medical documents, textbooks, and business strategies, enabling them to ask questions that feature line-level citations for comprehensive validation. PageIndex excels in managing extremely lengthy documents that could extend to thousands of pages while also being skilled in interpreting not just text but also tables, charts, figures, and images. This holistic understanding guarantees that users can effectively gather significant information from extensive resources, enhancing their ability to make informed decisions based on a wide range of data. Ultimately, PageIndex serves as a powerful tool for anyone seeking to navigate the complexities of large documents with ease and accuracy.

What is LongCat-2.0?

LongCat-2.0 signifies a remarkable leap forward in the field of language models, boasting an impressive 1.6 trillion parameters through a Mixture-of-Experts architecture that utilizes AI ASIC superpods, with around 48 billion parameters activated per token, demonstrating outstanding proficiency in coding and agentic functions. This model notably surpasses its predecessors by incorporating a large-scale sparse architecture along with specialized post-training techniques designed specifically for applications in real-world software development, tool usage, long-context reasoning, and intricate agent operations. Entirely built and executed on AI ASIC superpods, LongCat-2.0's pretraining involved processing over 35 trillion tokens and countless accelerator hours, highlighting the forefront of training techniques on state-of-the-art hardware. To further enhance its capabilities on tasks that require long-term contextual awareness, the model integrates LongCat Sparse Attention and is trained with hundreds of billions of tokens derived from 1M-context datasets, which empowers it to adeptly handle ultra-long context challenges and maintain a comprehensive understanding of extensive documents. This unique blend of features not only establishes LongCat-2.0 as an innovative leader in advanced language models but also sets a new benchmark for future developments in the domain. Its capabilities are likely to inspire a new wave of research and applications in the field.

Media

Media

Integrations Supported

Claude Code
Hermes Agent
Model Context Protocol (MCP)
OpenClaw

Integrations Supported

Claude Code
Hermes Agent
Model Context Protocol (MCP)
OpenClaw

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PageIndex

Date Founded

2023

Company Location

United Kingdom

Company Website

pageindex.ai/

Company Facts

Organization Name

LongCat

Date Founded

2023

Company Location

China

Company Website

longcat.chat/blog/longcat-2.0/

Categories and Features

Categories and Features

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