AI article
NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models
huggingface | Oct 21, 2026 | Yauhen Babakhin, Ryan Chesler, Jiarui Cai, Sean Sodha, Isabel Hulseman
Automated excerpt
The new models include Nemotron 3. 5 Embed 8B BF16, 1B BF16, 1B NVFP4, Nemotron 3. 5 Rerank 8B BF16, and Nemotron 3. 5 Parse at 631M parameters. Lower agent inference cost: Adding Nemotron 3. 5 Rerank reduces agentic token cost per query by approximately 14% with Nemotron 3. 5 Embed 8B, and 13% with Nemotron 3. 5 Embed 1B, while improving retrieval accuracy in both configurations. Nemotron 3. 5 Embed and Nemotron 3. 5 Rerank model capabilities and use cases across various sizes and variants.
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