LLM-as-a-Judge Evaluators for Dataset Experiments

10 min walkthrough on how to reliably evaluate your LLM application changes using Langfuse’s new managed LLM-as-a-judge evaluators.

This feature helps teams:

• Automatically evaluate experiment runs against test datasets
• Compare metrics across different versions
• Identify regressions before they hit production
• Score outputs based on criteria like hallucination, helpfulness, relevance, and more

Works with popular LLM providers including OpenAI, Anthropic, Azure OpenAI, and AWS Bedrock through function calling.

More details:

• Changelog
• Docs: LLM-as-a-Judge Evaluators
• Docs: Dataset Experiments