Building a Conversational AI Assistant with RAG

What if you could turn your company’s scattered documents into a conversational AI assistant—without training a single model?

In this session, I’ll show how we built a Retrieval-Augmented Generation (RAG) system that transforms internal company knowledge into accurate, context-aware answers through an AI assistant chat interface.

We’ll explore how retrieval and generation work together, how to keep responses grounded in real documents, and what it takes to move from AI hype to practical business impact.

You’ll learn how organizations can make their internal knowledge truly usable by connecting AI with existing documentation, knowledge bases, and internal content.

The session also includes a live demo of an AI assistant chat system answering real questions using indexed company documents.

If you're curious about how to make your company’s knowledge accessible, searchable, and actually useful, this talk will show you how.