Advanced Fault-Tolerant Document Extraction At Scale With Vision-Based Entities

This Example showcases a scalable, multimodal foundation for document processing that combines vision-language models with ontology-driven extraction. Users can accurately extract and ontologize entities and their relationships from even the most complex, unstructured PDFs including multi-page tables, artifact-laden scans, and variable layouts.