NVIDIA releases Nemotron 3.5 models for searching text, charts and scanned PDFs

NVIDIA has released open, commercially available Nemotron 3.5 retrieval models on Hugging Face: Embed in 8B and 1B sizes for searching document text and images such as tables and charts, an 8B Rerank model that reorders search results, and Parse, a 631M-parameter model that turns document images into structured text. NVIDIA says adding the reranker cut an agent's tokens per query by about 14% with the 8B embedder while improving retrieval accuracy, and that Embed 8B and Rerank each ranked first on ViDoRe v3.1 leaderboards as of 20 October 2026. Text retrieval was evaluated across 34 languages. Partners including Vectorize, Perplexity and Turbopuffer report strong results in their own tests, as quoted by NVIDIA.