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What is Progress Agentic RAG?

Progress Agentic RAG is a high-value SaaS platform that automatically indexes files and documents to fuel diverse use cases with LLMs and AI Agents, ensuring high-quality outputs through RAG quality metrics. Built by Progress, it solves the problem of extracting actionable insights from unstructured data by providing a modular RAG-as-a-Service. Core capabilities include generative AI search, multilingual support, and flexible deployment options. The platform is designed for organizations looking to accelerate AI-readiness, drive innovation, and maintain privacy and security. It fits workflows for legal teams, financial institutions, and any business needing to unlock institutional knowledge from diverse data sources.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and traceable

Interface

Clean and intuitive

AI Technology
LLMNLPSearch
Purpose of Tool

To provide agentic RAG-as-a-service for indexing and querying unstructured data with LLMs.

Compatibility

SaaS with flexible deployment; integrates with any LLM and supports over 60 data formats.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

End-to-end RAG pipeline

RAG quality metrics with traceability

Multilingual support for 60+ formats

Flexible LLM switching

SaaS deployment with pay-as-you-go pricing

Generative search for websites

Video indexing and AI search

Privacy and security certifications

Who Is It For?

Legal teams

Financial institutions

Enterprise knowledge managers

Developers

Marketing teams

Data analysts

IT administrators

Product managers

Customer support teams

Researchers

Pricing

Free Trial

$0/free
  • Limited indexing
  • Basic search
  • Community support

Starter

$99/monthly
  • Up to 10k documents
  • Generative answers
  • Email support

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Pros & Cons

Pros

  • Comprehensive RAG pipeline with built-in quality metrics ensures reliable outputs.
  • Significant cost savings and rapid deployment compared to building custom solutions.

Cons

  • Pricing details are not transparent on the website.
  • May require integration effort for highly customized workflows.

FAQs

Just Launched

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