Retrieval-augmented generation (RAG) stories

H Company releases NeoMME multimodal encoders for visual document retrieval

H Company has launched NeoMME, a family of 260M and 800M parameter single-tower multimodal encoders designed for visual document retrieval. The models represent a departure from existing approaches that repurpose generative vision-language models as encoders.