
    Amazon Bedrock launches new RAG evaluation capabilities that help organizations systematically assess AI performance by providing comprehensive, automated evaluation of retrieval and generation quality using LLM-as-a-judge technology.


<div>
<p>
This article discusses AWS Bedrock's new RAG (Retrieval Augmented Generation) application evaluation capabilities, which help organizations systematically assess AI performance across multiple dimensions.
</p>
<ul>
<li>Introduces LLM-as-a-Judge technology for comprehensive AI output evaluation</li>
<li>Provides metrics for assessing retrieval and generation quality in RAG systems</li>
<li>Offers scalable evaluation across thousands of AI responses</li>
<li>Enables comparison of different models and configurations</li>
<li>Integrates responsible AI metrics like harmfulness and stereotyping</li>
</ul>
<p>
Key features include automated, nuanced evaluation that combines speed and human-like understanding, helping organizations improve AI application quality and make data-driven decisions about model selection and deployment.
</p>
</div>


Related articles