Deploy Models Now with NVIDIA NIM
Optimized inference for the world’s leading modelsFree serverless APIs for development
Self-Host on your GPU infrastructure
Continuous vulnerability fixes
Improve information retrieval accuracy with world-class NVIDIA NeMo Retriever models for reranking retrieved enterprise data to improve answer relevancy.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Multilingual text reranking model.
Power enterprise search and question answering with NVIDIA NeMo Retriever models—embed text and scanned documents, including PDFs and images, for fast, multilingual, multimodal data retrieval.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Multimodal question-answer retrieval representing user queries as text and documents as images.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
English text embedding model for question-answering retrieval.
Optimized community model for text embedding.
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.
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.
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 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.
Automate research, and generate blogs with AI Agents using LlamaIndex and Llama3.3-70B NIM LLM.
Document your github repositories with AI Agents using CrewAI and Llama3.3 70B NIM.
Accelerate, large-scale extraction from massive collections of multimodal data—text, images, and complex documents—for rapid, context-aware insights across your enterprise.
Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
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.
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
