A compact Japanese text embedding specialist, ruri-v3-130m punches above its weight for a 130M parameter model. It focuses narrowly on producing dense vector representations of Japanese text, making it reliable for semantic search and similarity tasks in Japanese. Its small footprint means it runs efficiently on modest hardware, though its specialization means it won't generalize well beyond Japanese-language embedding tasks.