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Searching for: Retrieval
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nvidiaCosmos Dataset Search

Accelerate post-training of end-to-end autonomous vehicle stacks with vector search and retrieval for large video datasets.

blueprintAutonomous VehiclesdataPhysical AISearchEnterpriseCosmosNVIDIA AI

cyborgCyborg Enterprise RAG

Securely extract, embed, and index multimodal data with encryption in-use for fast, accurate semantic search.

NIMLaunchableBlueprintRetrieval-Augmented GenerationNeMo Retriever

nvidiallama-3_2-nemoretriever-300m-embed-v2

Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.

Retrieval Augmented GenerationText-to-EmbeddingNeMo Retriever

nvidiaRetail Shopping Assistant

Elevate Shopping Experiences Online and In Stores.

blueprintnemo retrievernimLaunchableRetrieval-Augmented GenerationNVIDIA AI

nvidiallama-3_2-nemoretriever-300m-embed-v1

Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.

Retrieval Augmented GenerationText-to-EmbeddingNeMo Retriever

nvidiallama-3.2-nemoretriever-1b-vlm-embed-v1

Multimodal question-answer retrieval representing user queries as text and documents as images.

nemo retrieverembeddingRetrieval Augmented GenerationText-to-Embedding

nvidiaBiomedical AI-Q Research Agent Blueprint

Build advanced AI agents within the biomedical domain using the AI-Q Blueprint and the BioNeMo Virtual Screening Blueprint

LaunchableAgent BlueprintBlueprintRetrieval-augmented generationllm

nvidiaBuild an AI Agent for Enterprise Research

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.

NIMLaunchableLlama NemotronReasoningBlueprintEnterpriseRetrieval-Augmented GenerationNVIDIA AINeMo Retriever

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.

nemo retrieverEmbeddingRetrieval Augmented Generation

nvidiaBuild an Enterprise RAG Pipeline Blueprint

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.

NIMLaunchableNemotronBlueprintEnterpriseRetrieval-Augmented GenerationNVIDIA AINeMo Retriever

nvidiallama-3.2-nv-embedqa-1b-v2

Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.

nemo retrieverrun-on-rtxembeddingRetrieval Augmented GenerationText-to-Embedding

nvidiallama-3.2-nv-rerankqa-1b-v2

Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.

nemo retrieverrun-on-rtxRetrieval Augmented Generationreranking

nvidiaBuild an AI Virtual Assistant

Create intelligent virtual assistants for customer service across every industry

Customer ServiceLaunchableBlueprintRetrieval-augmented generationllmcontact centerNVIDIA AI

metallama-3.2-11b-vision-instruct

Cutting-edge vision-language model exceling in high-quality reasoning from images.

Image-Text RetrievalVisual QAchatImage-to-TextImage CaptioningVisual Grounding

metallama-3.2-90b-vision-instruct

Cutting-edge vision-Language model exceling in high-quality reasoning from images.

Image-Text RetrievalVisual QAimage captioningchatImage-to-TextVisual Grounding

nvidianv-embedqa-e5-v5

English text embedding model for question-answering retrieval.

Embeddingrun-on-rtxRetrieval Augmented GenerationNemo retrieverText-to-Embedding

nvidianv-embedqa-mistral-7b-v2

Multilingual text question-answering retrieval, transforming textual information into dense vector representations.

nemo retrieverEmbeddingRetrieval Augmented Generation

baaibge-m3

Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.

EmbeddingsRetrieval Augmented GenerationText-to-Embedding

nvidiarerank-qa-mistral-4b

GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.

RankingRetrieval Augmented Generation