Reducing Hallucinations with Retrieval-Augmented Generation: A Practical Introduction

This talk introduces how open-source Hugging Face models can be combined with Retrieval-Augmented Generation (RAG) to produce more reliable and grounded AI responses. Through a simple live demo, I’ll show how retrieval improves factual accuracy and reduces hallucinations, then briefly discuss real-world limitations of RAG and how newer ideas like Cache-Augmented Generation (CAG) aim to address them. The session is designed to be practical, accessible, and directly applicable.