The Nemotron-3 embedding model now ranks first overall on the Retrieval Task Evaluation Benchmark. It outperforms previous leaders by optimizing how agents retrieve relevant documents from massive datasets. This efficiency reduces noise in RAG pipelines. Developers can now implement more precise context windowing for complex, multi-step agentic workflows.