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Clover Choi

Setting new standards for enterprise #RAG applications, NeMo Retriever leads the industry.

This top-performing model is:

🔎fine-tuned for query-document retrieval where queries are text and images.

📊particularly useful in multimodal RAG systems that use text, charts, tables or infographics.

Potential applications include multimedia search, cross-modal retrieval, and conversational AI with rich input understanding.

🛠️Developers can achieve up to 15X faster PDF data extraction, 50% better accuracy, and 35X better storage efficiency with NeMo Retriever.

For researchers, check it out on #HuggingFace. ➡️ https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main

For developers needing production-ready, commercial models, visit ➡️ build.nvidia.com/explore/retrieval

#GenerativeAI #AgenticAI #AIAgents

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🏆NVIDIA NeMo Retriever achieves 1st place on @HuggingFace across three top visual document retrieval leaderboards -- ViDoRe V1, ViDoRe V2, and MTEB VisualDocumentRetrieval.

Setting new standards for enterprise #RAG applications, NeMo Retriever leads the industry.

This top-performing model is:
🔎fine-tuned for query-document retrieval where queries are text and images.
📊particularly useful in multimodal RAG systems that use text, charts, tables or infographics. 

Potential applications include multimedia search, cross-modal retrieval, and conversational AI with rich input understanding.
🛠️Developers can achieve up to 15X faster PDF data extraction, 50% better accuracy, and 35X better storage efficiency with NeMo Retriever.
For researchers, check it out on #HuggingFace. ➡️ https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main
For developers needing production-ready, commercial models, visit ➡️ build.nvidia.com/explore/retrieval 
#GenerativeAI #AgenticAI #AIAgents 

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Setting new standards for enterprise #RAG applications, NeMo Retriever leads the industry.

For researchers, check it out on #HuggingFace. ➡️https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1/tree/main

For developers, visit ➡️ build.nvidia.com/explore/retrieval 

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