Improve LLM accuracy and performance with Retrieval Augmented Generation

Retrieval Augmented Generation or RAG is a way to add context to your LLM so it can answer questions with more context of your data. In this video Brandon Royal shows how to use RAG with a LLM on GKE to improve the answering capability of the Model.

[@yoginchopda1515]

Thanks for the great tutorial! Is there a github repo where we can find the code used in the tutorial? Specifically, k8s files