A multilingual text embedding specialist that encodes meaning into dense vectors for retrieval and similarity tasks. It handles long documents with extended context windows and produces embeddings that work well across languages without needing separate models for each. The open-weight format means you can run it locally and fine-tune it for domain-specific needs.