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Improve information retrieval accuracy with world-class NVIDIA Nemotron RAG models by reranking retrieved enterprise data to improve answer relevancy.
GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
Power enterprise search and question answering with NVIDIA Nemotron RAG models by embedding text and scanned documents, including PDFs and images, for fast, multilingual, multimodal data retrieval.
Multimodal question-answer retrieval representing user queries as text and documents as images.
English text embedding model for question-answering retrieval.
Accelerate large-scale extraction from massive collections of multimodal data - text, images, and complex documents - with NVIDIA Nemotron RAG models for rapid, context-aware insights across your enterprise.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
Accelerate AI application development with ready-to-use workflows powered by NVIDIA NIM and NeMo microservices for RAG, AI agents, video search and summarization, and more.
Power fast, accurate semantic search across multimodal enterprise data with NVIDIA’s RAG Blueprint—built on NeMo Retriever and Nemotron models—to connect your agents to trusted, authoritative sources of knowledge.
Create intelligent virtual assistants for customer service across every industry
Ingest massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Build a custom enterprise research assistant powered by state-of-the-art models that process and synthesize multimodal data, enabling reasoning, planning, and refinement to generate comprehensive reports.
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.