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Demo - 5 Agentic RAG Patterns Every OpenEdge Developer Should Know

Sep 1, 2026

This demo walks through five Progress® Agentic RAG patterns layered on top of a real OpenEdge-built ERP (Maintenance OS) - showing what the integration surface looks like when you're adding AI to an existing application rather than building one from scratch.

Grounded, citation-backed RAG over unstructured compliance and policy documents, with every answer traced back to its source.

Agentic retrieval, where the model decomposes a natural-language question and calls tools against live ERP tables instead of a pre-built index.

Visual document intelligence that OCRs and extracts arbitrary invoice layouts, matching line items back to your own catalog data.

Schema-constrained generation that outputs quotes, triage records, and dispatch recommendations as structured objects your application can act on directly, rather than text you have to re-parse.

Narrative rollups that combine structured and unstructured sources into daily briefings and executive summaries, without a separate BI pipeline.

All of it shown as one integration layer sitting underneath the existing OpenEdge system, not five disconnected tools.

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Progress Agentic RAG platform is the first and only agentic RAG solution designed to empower AI agents with trusted, scalable retrieval from your internal data. If you are ready to move beyond generic answers and begin unlocking true AI reasoning, you've found the right solution.

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