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Description
PageIndex is an advanced document AI platform designed for comprehending lengthy and intricate documents, offering accurate, verifiable responses that are directly linked to the original sources. Instead of relying on embeddings, chunking, or vector databases, it employs a reasoning-based retrieval method that converts each document into a tree-like index, reflecting the natural way individuals explore sections, subsections, pages, and content. A reasoning model then analyzes this structure to identify where to find pertinent information, thereby enabling context-aware retrieval that is both traceable and easy to explain. Users have the capability to upload a wide variety of documents such as reports, legal files, research papers, technical manuals, medical records, textbooks, and business plans, allowing them to pose questions that include line-level citations for thorough verification. PageIndex is adept at handling ultra-long documents that can span thousands of pages and is proficient in interpreting not only text but also tables, charts, figures, and images. This comprehensive understanding ensures users can efficiently extract relevant data from extensive materials.
Description
Progress Agentic RAG is a SaaS platform that enhances Retrieval-Augmented Generation by automatically indexing, searching, and producing AI-driven insights from both structured and unstructured business information, such as documents, emails, videos, and presentations. It achieves this by merging RAG with intelligent workflows that can reason, classify, summarize, and answer inquiries while providing traceable and verifiable outcomes, all without necessitating that users create or manage their own RAG infrastructure. This solution is modular and operates as a no-code RAG-as-a-Service, facilitating AI readiness for organizations by allowing them to extract contextual intelligence and business insights through natural language queries and output metrics focused on quality. Furthermore, it seamlessly integrates with any leading Large Language Model (LLM) and accommodates multilingual and multimodal content for indexing and retrieval. Noteworthy features include AI-driven summarization and classification, the generation of Q&A from enterprise data, and a Prompt Lab that enables the validation of LLM behavior through customized prompts. Additionally, the platform is designed to enhance user experience by simplifying complex tasks and ensuring that organizations can derive maximum value from their data effortlessly.
API Access
Has API
API Access
Has API
Integrations
Amazon
Amazon S3
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Jira
Integrations
Amazon
Amazon S3
Claude
Dropbox
GPT-4o
GPT-4o mini
Gemini
Gemini 2.5 Flash
Google Drive
Jira
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$700 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PageIndex
Founded
2023
Country
United Kingdom
Website
pageindex.ai/
Vendor Details
Company Name
Progress Software
Country
United States
Website
www.progress.com/agentic-rag