4. Evaluating RAG quality

The old saying “you can’t manage what you can’t measure” is incredibly relevant (no pun intended) in the context of any generative AI application, RAG included. In order for your generative AI application to deliver high quality, accurate responses, you must be able to define and measure what “quality” means for your use case.

This section deep dives into 3 critical components of evaluation:

• 4.1. Defining “quality”: evaluation sets
• 4.2. Assessing performance: Metrics that Matter
• 4.3. Enabling Measurement: Supporting Infrastructure