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Searching for: Retrieval
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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-embeddingnvidia

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 generationllmnvidia

nvidiaBuild an AI Agent for Enterprise Research

Build artificial general agents (AGA) powered by AGI models that continuously process and synthesize multimodal enterprise data, enabling reasoning, planning, and refinement to generate comprehensive reports.

nimlaunchablellama nemotronreasoningblueprintenterpriseretrieval-augmented generationnvidia ainemo retrievernvidia

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 generationnvidia

nvidiaBuild an Enterprise RAG pipeline

Connect AI applications to multimodal enterprise data with a scalable retrieval augmented generation (RAG) pipeline built on highly performant, industry-leading NIM microservices, for faster PDF data extraction and more accurate information retrieval.

nemo retrievernimlaunchableblueprintenterpriseretrieval-augmented generationnvidia ainvidia

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-embeddingnvidia

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

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

nemo retrieverretrieval augmented generationrerankingnvidia

nvidiaBuild an AI Virtual Assistant

Create intelligent virtual assistants for customer service across every industry

customer servicelaunchableblueprintretrieval-augmented generationllmcontact centernvidia ainvidia

metallama-3.2-11b-vision-instruct

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

image-text retrievalvisual qaimage-to-textimage captioningvisual groundingmeta

metallama-3.2-90b-vision-instruct

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

image-text retrievalvisual qaimage captioningimage-to-textvisual groundingmeta

nvidianv-embedqa-e5-v5

English text embedding model for question-answering retrieval.

embeddingretrieval augmented generationnemo retrievertext-to-embeddingnvidia

nvidianv-embedqa-mistral-7b-v2

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

nemo retrieverembeddingretrieval augmented generationnvidia

baaibge-m3

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

embeddingsretrieval augmented generationtext-to-embeddingbaai

nvidiaembed-qa-4

GPU-accelerated generation of text embeddings used for question-answering retrieval.

embeddingsretrieval augmented generationtext-to-embeddingnvidia

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 generationnvidia