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LLM Apps in Production (RAG + Vector DB + Caching) · Lesson

A/B Testing and User Feedback Loops

Implement A/B testing frameworks to validate changes and integrate user feedback for continuous improvement of RAG models.

What is A/B Testing?

When you make changes to your RAG system, how do you know if they're actually better? A/B testing is a powerful method to compare two versions of something to see which one performs better.

You show different versions to different user groups and measure the impact. It's like a scientific experiment for your RAG model!

Benefits for RAG Systems

For RAG systems, A/B testing helps you:

  • Validate improvements: Confirm if a new chunking strategy or reranker truly enhances relevance.
  • Reduce risk: Test changes on a small user group before full rollout.
  • Optimize user experience: Discover which RAG configuration users prefer or find most helpful.

All lessons in this course

  1. Key Metrics for RAG Performance
  2. Developing Evaluation Benchmarks
  3. A/B Testing and User Feedback Loops
  4. Detecting and Measuring Hallucinations
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