How to Evaluate Retrieval Quality in RAG Pipelines (part 2): Mean Reciprocal Rank (MRR) and Average Precision (AP)

Evaluating retrieval quality in RAG pipelines can be performed using binary, order-aware measures that consider the ranking of retrieved documents. This approach focuses on two key metrics: Mean Reciprocal Rank (MRR) and Average Precision (AP). MRR evaluates the performance based on the rank of the first correctly identified document, making it useful when a single top result is most important. In contrast, AP considers the rank of all relevant documents, providing a more holistic measure of retrieval quality, and the text includes Python code for implementing both metrics.