Retrieval Accuracy (Mean Average Precision / Mean Reciprocal Rank) is a key evaluation metric for text embedding/vectorization tasks in the field of natural language processing. MAP and MRR assess the ranking quality of embeddings in retrieval tasks, reflecting semantic matching capabilities. This metric is typically reported as a dimensionless score. It is widely used in relevant benchmarks and papers, effectively reflecting model performance in this dimension. Higher values indicate better performance.