Evaluating RAG with LLM as a Judge | Mistral AI

This post details the application of Mistral's structured outputs feature to enhance LLM-as-a-judge evaluations for RAG systems. It outlines how structured outputs can enforce clear schemas and criteria for evaluating context relevance, groundedness, and answer relevance, making LLM-based evaluation more reliable and machine-readable. The post provides a Pydantic schema example for RAG evaluation and links to a GitHub notebook demonstrating the implementation.