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

Explores order-aware binary metrics for evaluating retrieval quality in RAG pipelines, specifically Mean Reciprocal Rank (MRR) and Average Precision (AP). MRR measures how high the first relevant result appears in rankings, while AP evaluates how consistently relevant documents rank toward the top across all retrieved results. Includes Python implementations and practical examples demonstrating when each metric is most useful, with MRR suited for scenarios needing quick answers and AP better for comprehensive result quality assessment.