AI BriefingNVIDIA Unveils Nemotron 3 Embed, Ranked #1 on RTEB
Key point
NVIDIA has released Nemotron 3 Embed, a collection of open embedding models that maximizes retrieval performance.
Details
NVIDIA has launched the Nemotron 3 Embed collection to improve retrieval quality for RAG (Retrieval-Augmented Generation) and agentic workflows. The models are offered in three versions to cover the spectrum between accuracy and efficiency.
Key Model Lineup:
- 8B model: The flagship model, which topped the RTEB (Retrieval Embedding Benchmark) multilingual leaderboard at #1, optimized for high-trust enterprise RAG.
- 1B model: Maximizes latency and cost efficiency, suitable for large-scale production serving.
- 1B NVFP4 model: Optimized for the NVIDIA Blackwell architecture, supporting ultra-high throughput.
All models support a 32k token long context, and the dynamic embedding size feature allows vector dimensions to be adjusted to optimize storage space and retrieval costs. They support 34 languages, including Korean, as well as code search, and both weights and training recipes are open, enabling fine-tuning.
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