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Embedding Models

25 summarised stories about Embedding Models, each linking back to the original source. Browse all topics →

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Thursday, 16 July 2026

NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval

Hugging Face 3 months ago 18 ● 2 sources

NVIDIA released Nemotron 3 Embed, a collection of three embedding models for retrieval in agentic workflows, with the 8B variant ranking first on the RTEB leaderboard at 78.5% accuracy. The 1B variants achieve 72.4% on RTEB while reducing error rates by 27-28% compared to predecessors, with an NVFP4-optimized version delivering up to 2x higher throughput on Blackwell hardware. Better retrieval quality reduces downstream token costs for agent queries, enabling more efficient multi-step agentic reasoning across enterprises already evaluating the models.

Personalizing Incremental Video Search with Hybrid Text and ID Embeddings

Apple 3 months ago 19

Apple TV developed a personalized video search system combining text-based and ID-based embeddings to improve search ranking after each keystroke. The system achieved 8.63% improvement in NDCG@10 on ambiguous 1-3 character queries and 1.14% tap-through rate increase in online testing. The personalization approach delivers greater value for users with longer watch histories and on underspecified queries where intent is still forming.

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