jina-embeddings-v5-text Collection Our 5th-gen embeddings: two lightweight multilingual models with SOTA performance in retrieval, matching, clustering, and classification. • 29 items • Updated Feb 27 • 38
NVIDIA Nemotron v3 Collection Open, Production-ready Enterprise Models • 15 items • Updated 1 day ago • 255
view article Article ViDoRe V3: a comprehensive evaluation of retrieval for enterprise use-cases Nov 5, 2025 • 63
Contextual AI Reranker v2 Collection Family of instruction-following multilingual rerankers on the cost/performance Pareto frontier across public and customer benchmarks • 6 items • Updated Aug 25, 2025 • 10
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding Paper • 2202.13669 • Published Feb 28, 2022 • 3
NV-Retriever: Improving text embedding models with effective hard-negative mining Paper • 2407.15831 • Published Jul 22, 2024 • 4