
Empower your users to find the right content across documents, videos and multilingual content.

The challenge
Traditional website search is limited by keyword matching, rigid metadata and siloed content. It forces users to guess exact terms, delivers links instead of answers, ignores unstructured formats like PDFs or videos and often leads to dead ends or irrelevant results. This makes it hard for users to find what they need quickly, erodes trust and lowers engagement while requiring ongoing maintenance from IT and content teams.
Users struggle with keyword-based search that fails to understand natural language or intent.
Important data lives in PDFs, videos and shared drives, often ignored by traditional search tools.
The solution
The Progress® Agentic RAG solution replaces link-based search results with precise, context-rich answers—with no more guessing or scrolling. Users can ask natural-language questions and instantly get the exact passage, timestamp or snippet they need from across their entire content ecosystem.



The solution ingests documents, text, video, audio, images and more to enable users to search and receive timestamps in videos, diagrams, infographics and images. It also provides more complete and accurate answers than text-only Retrieval-Augmented Generation (RAG) systems.
With modular pipelines, 30+ retrieval strategies and embeddable components, the Progress Agentic RAG solution deploys in weeks—not months—without needing custom infrastructure or deep AI expertise. It’s fully LLM-agnostic and future-ready, letting you evolve models and use cases without vendor lock-in.
Regardless of the language used by the user or the language of your site, the AI Search feature within the Progress Agentic RAG solution enables users to find relevant information and provide answers in the language of the user’s prompt.
Connect with us to learn how we can make agentic RAG technology a reality for your organization.