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Searching for: NeMo retriever
nvidiaBuild an AI Agent for AI Research and Reporting
Create AI agents that reason, plan, reflect and refine to produce high-quality reports based on source materials of your choice.
nvidiallama-3.3-nemotron-super-49b-v1
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
nvidiallama-3.1-nemotron-nano-8b-v1
Leading reasoning and agentic AI accuracy model for PC and edge.
nvidianv-embedcode-7b-v1
The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
nvidianemoretriever-table-structure-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
nvidianemoretriever-graphic-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
nvidianemoretriever-page-elements-v2
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
nvidianemoretriever-parse
Cutting-edge vision-language model exceling in retrieving text and metadata from images.
nvidiaBuild an Enterprise RAG pipeline
Connect AI applications to multimodal enterprise data with a retrieval augmented generation (RAG) pipeline.
nvidiallama-3.1-nemoguard-8b-topic-control
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
nvidianemoguard-jailbreak-detect
Industry leading jailbreak classification model for protection from adversarial attempts
nvidiallama-3.1-nemoguard-8b-content-safety
Leading content safety model for enhancing the safety and moderation capabilities of LLMs
nvidiacosmos-nemotron-34b
Multi-modal vision-language model that understands text/img/video and creates informative responses
nvidiallama-3.2-nv-embedqa-1b-v2
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
nvidiallama-3.2-nv-rerankqa-1b-v2
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
university-at-buffalocached
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
nvidianv-yolox-page-elements-v1
Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
nvidianemotron-4-mini-hindi-4b-instruct
A bilingual Hindi-English SLM for on-device inference, tailored specifically for Hindi Language.
nvidiallama-3.1-nemotron-70b-instruct
Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA in order to improve the helpfulness of LLM generated responses.
nvidiamistral-nemo-minitron-8b-8k-instruct
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
nvidiallama-3.1-nemotron-70b-reward
Leaderboard topping reward model supporting RLHF for better alignment with human preferences.
nvidiallama-3.1-nemotron-51b-instruct
Unique language model that delivers an unmatched accuracy-efficiency performance.
nvidianemotron-mini-4b-instruct
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
nvidiamistral-nemo-minitron-8b-base
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
nv-mistralaimistral-nemo-12b-instruct
Most advanced language model for reasoning, code, multilingual tasks; runs on a single GPU.
nvidianv-rerankqa-mistral-4b-v3
Multilingual text reranking model.
nvidianv-embedqa-e5-v5
English text embedding model for question-answering retrieval.
nvidianv-embedqa-mistral-7b-v2
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
nvidianemotron-4-340b-reward
Grades responses on five attributes helpfulness, correctness, coherence, complexity and verbosity.
nvidianemotron-4-340b-instruct
Creates diverse synthetic data that mimics the characteristics of real-world data.
snowflakearctic-embed-l
Optimized community model for text embedding.
