About The Webinar

Do you want to build smarter, more accurate AI assistants? Learn how Retrieval-Augmented Generation (RAG) brings together the power of large language models and external data sources to deliver intelligent, context-aware answers.

In this webinar, we’ll walk you through the RAG architecture and show you how to apply it in real-world scenarios—including a hands-on example within the OpenEdge environment.

Key takeaways:

• What is RAG and how it works – A clear breakdown of how RAG combines retrieval and generation for better AI responses.

• Why RAG? – Key benefits over traditional AI models.

• Intro to Vector Databases – What they are and why they matter.

• How Vector Databases are Used in RAG – See how data is stored, searched, and retrieved.

• Evaluation Metrics – Learn how to measure your RAG system’s performance.

• Live Example: ChatOE – Watch RAG in action with a real use case inside OpenEdge.

Whether you’re just starting out with RAG or looking to deepen your understanding, this session will give you the tools and insights to start building your own AI assistant with confidence.