EvaluationIntermediate

LLM Evaluation Pipeline

Build robust evaluation systems for measuring and improving LLM output quality

2-4 weeks
1-3 people
5 tools
Key Tools
RagasLangfuseBraintrustPromptfooOpenAI API
Implementation Steps
  1. 1

    Define evaluation criteria for your use case

  2. 2

    Create golden datasets for regression testing

  3. 3

    Set up Ragas for RAG-specific metrics

  4. 4

    Use Promptfoo for systematic prompt testing

  5. 5

    Implement LLM-as-judge for subjective quality

  6. 6

    Add Langfuse for production monitoring

  7. 7

    Create automated evaluation pipelines in CI/CD

Expected Outcomes
  • Measurable LLM quality metrics
  • Regression detection before production
  • Data-driven prompt optimization
  • Continuous quality monitoring
Pro Tips
  • Start with simple metrics, add complexity later
  • Human evaluation is still the gold standard
  • Test prompts across multiple models
  • Version control your evaluation datasets
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