When knowledge is scattered across systems, documents and teams, AI can’t deliver reliable answers. The Progress® Data Platform turns fragmented enterprise information into a unified, governed knowledge layer, so AI responses are accurate and explainable.
Reduces time spent searching across documents, systems and repositories
Enables everyone to see the same trusted answers, no matter where data lives
Replaces manual search and tribal knowledge with AI-powered discovery
Grounds responses in governed sources to eliminate hallucinations
Enterprise knowledge is rarely stored in one place. It lives across content systems, databases, archives and inboxes, often with inconsistent structure and access controls.
Traditional enterprise search tools lack semantic understanding. Generic AI models may respond fluently but without grounding. That means they introduce risk through incorrect, outdated or unverifiable answers.
For customer-facing or internal decision-making, unreliable AI erodes trust fast.
The Progress Data Platform unifies enterprise data and enriches it with semantic context, so AI understands meaning, relationships and relevance, offering value keywords or vectors can’t provide.
Using retrieval-augmented generation (RAG), AI responses are generated directly from trusted enterprise sources, with governance and access controls enforced at every step.
Fast, accurate knowledge discovery you can stand behind.
Pharmaceutical Leader Transforms R&D Search Powered by Progress Data Platform RAG Capabilities and Gen AI
When it comes to bringing a new drug to market, powerful enterprise search capabilities are vital to success. For one pharmaceutical leader, their search process had become fragmented among disconnected applications, document repositories and internal portals. To get the process back on track, the organization deployed a RAG search solution using the Progress Data Platform.


