FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.
Multi-modal model to classify safety for input prompts as well output responses.
Multimodal question-answer retrieval representing user queries as text and documents as images.
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
Powerful, multimodal language model designed for enterprise applications, including software development, data analysis, and reasoning.
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
Build a custom deep researcher powered by state-of-the-art models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Cutting-edge open multimodal model exceling in high-quality reasoning from image and audio inputs.
Continuously extract, embed, and index multimodal data for fast, accurate semantic search. Built on world-class NeMo Retriever models, the RAG blueprint connects AI applications to multimodal enterprise data wherever it resides.
Cutting-edge open multimodal model exceling in high-quality reasoning from images.
Vision foundation model capable of performing diverse computer vision and vision language tasks.
