minicoil v1 is a compact, task-focused embedding model that punches above its weight by using learned sparse representations rather than dense vectors. It's the colleague who keeps things lean and efficient — optimized for retrieval tasks where interpretability and speed matter more than raw expressiveness. The trade-off is a narrower sweet spot: it shines in search pipelines but isn't built for general-purpose semantic tasks.