About this episode

Retrieval-Augmented Generation (RAG) has become a cornerstone of modern AI systems. It bridges the gap between static model knowledge and dynamic, up-to-date information. Instead of relying solely on what an LLM already “knows,” RAG retrieves relevant documents or passages from an external source — like a vector database — and feeds them into the prompt.

But what happens when this retrieval process goes wrong?

Join Alex and Jamie as they discuss how to solve common rag failures in this episode of Nerd Level Tech AI Cast.