view article Article How NVIDIA AI-Q Reached \#1 on DeepResearch Bench I and II about 18 hours ago • 18
view article Article A framework and leaderboard for Retrieval Pipelines evaluation on ViDoRe v3 13 days ago • 10
Nemotron ColEmbed V2 Collection State-of-the-Art Late Interaction Vision-Language Embedding Models • 3 items • Updated 1 day ago • 10
view article Article Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3’s Top Model Feb 4 • 28
Llama-Embed-Nemotron-8B Collection State-of-the-Art Text Embedding Model • 3 items • Updated 1 day ago • 4
KoViDoRe Benchmark (BEIR) v2 Collection Korean Vision Document Retrieval Benchmark • 4 items • Updated 10 days ago • 5
view article Article Small Yet Mighty: Improve Accuracy In Multimodal Search and Visual Document Retrieval with Llama Nemotron RAG Models Jan 6 • 25
Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video Paper • 2510.03458 • Published Oct 3, 2025 • 3
Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks Paper • 2511.07025 • Published Nov 10, 2025 • 14
ViDoRe Benchmark V3 Collection ViDoRe V3 is our latest benchmark, engineered to set a new industry gold standard for multi-modal, enterprise document retrieval evaluation. • 8 items • Updated Jan 14 • 20
view article Article ViDoRe V3: a comprehensive evaluation of retrieval for enterprise use-cases Nov 5, 2025 • 63
Nemotron RAG Collection Set of tools to build retrieval-augmented generation (RAG) systems, improve search and ranking accuracy, and extract structured data from complex docs • 9 items • Updated 1 day ago • 79
view article Article Llama‑Embed‑Nemotron‑8B Text Embedding Model Ranks First on Multilingual MTEB Leaderboard Oct 21, 2025 • 14