This library provides modular implementations of metric learning algorithms including contrastive learning, triplet loss variants, and ArcFace-style losses. It offers components for data mining (hard negative mining), logging, and evaluation specifically for embedding-based retrieval tasks. The library integrates with standard CV datasets and includes Colab examples for common image retrieval benchmarks.