# Evaluating RAG with LLM as a Judge

DevFeed: [Evaluating RAG with LLM as a Judge](<https://devfeed.tech/articles/evaluating-rag-with-llm-as-a-judge-7028.md>)

Original publisher: [Read original article](<https://mistral.ai/news/llm-as-rag-judge/>)

Published: 2025-04-09T12:00:00Z

Content type: article

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>)

Tags: [evaluation](<https://devfeed.tech/tags/evaluation.md>), [llm](<https://devfeed.tech/tags/llm.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval-augmented-generation-rag](<https://devfeed.tech/tags/retrieval-augmented-generation-rag.md>)

## AI overview

The article explains how LLM-as-a-judge methods can evaluate RAG systems at scale, including grading generated answers against criteria such as accuracy, relevance, and grounding.

## Source excerpt

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