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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
Join the Command Staff.
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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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