by NVIDIA
NVIDIA family of multilingual text embedding models (8B and 1B) for retrieval, RAG and coding agents.
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Nemotron 3 Embed is a family of text embedding models from NVIDIA, reported in two sizes, 8B and 1B parameters. The models are intended for retrieval, retrieval-augmented generation (RAG) and coding-agent workflows. NVIDIA's Hugging Face blog post frames the release around results on the RTEB retrieval benchmark.
According to a YouTube creator summary, the models are multilingual and outperform Qwen 3 and Gemma embedding models while being cost-efficient. These comparison claims come from secondary coverage and the vendor's own benchmark post, and were not independently verified here.
The models are published on Hugging Face. The provided material did not include the license, exact release date, context length, embedding dimensions or pricing, so those are left unspecified.
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Family of embedding models (8B and 1B) for retrieval, RAG and coding agents, outperforming Qwen 3 and Gemma embeddings and cost-efficient. Multilingual, released on Hugging Face.
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