Unlocking Intelligent Knowledge Search for Progress OpenEdge ISVs

Independent Software Vendors (ISVs) building on the Progress^® OpenEdge^® platform have spent years, or even decades, refining deep business logic, vertical expertise and mission-critical applications. These systems are rich in data, rules and domain intelligence. Yet most OpenEdge-based solutions remain transactional systems of record rather than intelligent systems of reasoning. They store and process transactions exceptionally well, but they do not reason across them.

The rise of agentic retrieval-augmented generation (RAG) introduces a new opportunity as it enables applications to not only retrieve information, but to investigate, synthesize and reason across structured and unstructured data sources. For OpenEdge ISVs, this represents a path to transform internal knowledge search from a fragmented, manual process into an intelligent, context-aware system.

An architecture consisting of both the Progress^® Agentic RAG solution and the Progress OpenEdge MCP Server becomes even more powerful. Business logic remains authoritative and secure, while AI agents gain structured, governed access to the domain intelligence embedded within the OpenEdge platform. The result is not simply an AI feature; it is a strategic evolution—from transactional platform to intelligent reasoning system.

For OpenEdge ISVs seeking to modernize without rewriting and innovate without compromising control, agentic RAG represents not merely an enhancement, but a strategic inflection point. Read more in this whitepaper.