A focused specialist that converts text into dense numerical representations, handling up to 32,768 tokens per input — a notably generous context window for an embedding model. It operates quietly in the background, turning documents, queries, or passages into vectors that power search and retrieval systems. Its open-weight MIT license means the weights are freely available to inspect, modify, and deploy.