ViDoRe V3: a comprehensive evaluation of retrieval for enterprise use-cases
Blog post from Hugging Face
ILLUIN Technology, collaborating with NVIDIA, has introduced ViDoRe V3, a comprehensive benchmark for evaluating enterprise document retrieval systems. This benchmark is designed to address challenges in retrieving accurate information from complex, visually-rich documents in real-world scenarios, focusing on multi-modal, enterprise relevance and high data quality. Unlike previous benchmarks, ViDoRe V3 includes human-created and verified annotations and draws from 10 diverse datasets across different industrial domains, with 8 publicly available and 2 kept private. It features 26,000 pages and 3,099 queries translated into six languages, each linked to human-verified retrieval ground truth data. ViDoRe V3 seeks to improve on synthetic data reliance by utilizing a combination of advanced visual language models and human expertise, offering a robust assessment of current retrieval models, which still struggle with multilingual and technical documents, particularly in domains like industrial and energy-related content. The benchmark aims to provide a more realistic and challenging evaluation framework, pushing the boundaries of visual retrieval systems and emphasizing the need for models to synthesize information from multiple pages to address complex queries effectively.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 3 | 5,048 | 855 | 225 | +5% |
| RAG | 3 | 1,167 | 195 | 86 | +2% |
| Serverless | 1 | 852 | 185 | 86 | +3% |
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