What is RAG?

Open at Intel

Katherine Druckman talks to fellow Intel Open Source Evangelist Ezequiel Lanza about building and deploying AI applications using Retrieval Augmented Generation. We break down RAG concepts and processes involved in providing additional context to general AI models for specialized use cases.

Guest:

Passionate about helping people discover the exciting world of artificial intelligence, Ezequiel Lanza is a frequent AI conference presenter and the creator of use cases, tutorials, and guides that help developers adopt open source AI tools.