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NVIDIA Nemotron 3 Embed
NVIDIA has released three new open embedding models for RAG and agentic retrieval, led by an 8B parameter model that tops the RTEB leaderboard.
What: The Nemotron-3 family of models includes an 8B model specifically optimized for RAG (Retrieval-Augmented Generation) tasks, code search, and agentic memory.
Why it matters: NVIDIA is prioritizing infrastructure-level components like high-performance embedding models to capture the stack beneath the LLM layer, positioning themselves as a provider of both hardware and fundamental retrieval software.
Decoder
- RAG: Retrieval-Augmented Generation, a technique that connects an LLM to an external data source to improve accuracy and reduce hallucinations.
- RTEB: Retrieval-focused Table Evaluation Benchmark, a common test for measuring how well models rank and retrieve documents for search and RAG systems.
Original article
NVIDIA released three open embedding models for RAG, agentic retrieval, code search, and memory, led by an 8B model that ranked first overall on RTEB.
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