Evaluating RAG Applications with AzureML Model Evaluation

Why Do we Need RAG?  RAG stands for Retrieval-Augmented Generation, which is a technique for improving the accuracy and reliability of generative AI models with facts retrieved from external sources. RAG is useful for tasks that require generating natural language responses based on relevant information from a knowledge base, such…