Yonder presenting at the 2026 PUG Challenge

This year, the PUG Challenge Amsterdam will be held on 4-6 November 2026 at the Van Der Valk Hotel Schiphol.

AI is no longer on the horizon for OpenEdge – it’s here. This edition focuses on the sessions that explore what it actually takes to bring AI into your OpenEdge environment: from agentic RAG architectures and real-time security monitoring to practical developer workflows that keep humans firmly in the loop.

 

 

Yonder will be presenting at the PUG:

AI RAGtime Stories – Hype, Hope, and Hard Truths

Gabriel Ionut Lucaciu, AI Delivery Manager, Yonder

RAG sounds great on paper. In production, it’s a different story. Real wins, real failures, and the hard truths that only come after running it live – plus honest guidance on connecting a RAG pipeline to OpenEdge data safely and knowing when it’s actually ready for production.

• The Hype: what RAG promises and why it sounds like the answer to everything
• The Hope: where RAG genuinely delivers in Progress OpenEdge environments, natural language access to business data, smart search over legacy documentation, AI assistants grounded in your actual data
• The Hard Truths: retrieval quality problems, chunking mistakes, hallucinations that slip through, production latency, data prep effort, embedding maintenance and security gaps that surface at the worst time
• How to connect a RAG pipeline to Progress OpenEdge data sources safely and practically
• What Progress and its partners offer in the AI data and knowledge space
• Stories from real RAG implementations, including what we shipped, what we had to rebuild, and what we wish we had known earlier
• Best practices for building RAG solutions that survive real users and real data
• Is RAG the right solution for my use case, or am I solving the wrong problem?
• What do I need to plan for before I start building?
• How do I connect RAG to my OpenEdge data safely and practically?
• How do I know when it is ready for production and not just for a demo?

RAG sounds great on paper. In production, it is a different story. This session tells the stories straight: the wins that justified the investment, the failures nobody blogged about, and the hard truths that only come from running it in production. We cover where RAG genuinely delivers value in OpenEdge environments, where it quietly breaks down, and what it really costs to build and maintain. We also look at how to connect a RAG pipeline to Progress data sources and what Progress and its partners offer in this space. Attendees leave with a realistic picture of what RAG takes to do properly and a clear way to decide whether it is the right fit for their use case.

 

Gabriel, or Gabi as he is called among colleagues, is our Progress specialist and he has run many AI engagements in the past year, building his RAG expertise as well as being part of our AI Modernization strategy team.

So visit the PUG Challenge in November and join Gabi’s presentation. And if you are curious and would like to reach out to Gabriel about AI RAG solutions or the Yonder AI modernization strategy, feel free to contact him and connect on LinkedIn: Gabriel Lucaciu.

Click to go to the PUG page.