Runtime

Are Unstructured and complex documents models consumed via robots or standalone Document Understanding APIs?

The Unstructured and complex documents models can be consumed via both robots and standalone Document Understanding Automation Cloud API.

How can I consume Unstructured and complex documents outputs?

Model outputs can be consumed via APIs, Document Understanding Activities, or IntelligentOCR (IOCR) Activities. Make sure to:

• Install the IOCR package v6.23.2-preview or newer and select the Document Understanding Project Extractor activity
• Install the Document Understanding package v2.13.2-preview or newer and select the Extract Document Data activity

Does the IXP Unstructured and complex documents capability provide confidence scores? How are they calculated?

Yes, we provide confidence scores in the model response and in Action Center (runtime), but not in the IXP user interface (design-time). We use the token probabilities returned by the LLM to estimate field and extraction level confidences.

Can the Unstructured and complex documents model outputs be consumed from hybrid deployments, that are on-prem Orchestrator or Automation Suite and Cloud IXP model?

Yes, this is supported via External Apps. For more details, check OAuth apps.

Can IXP Unstructured and complex documents model outputs be consumed from different organizations or tenants, that are Production, Development, or User Acceptance Testing (UAT)?

Yes, this is supported via External Apps. For more details, check OAuth apps.

Does the validation station work with the Unstructured and complex documents capability?

Yes, it works the same way as Document Understanding Modern or Classic projects. However, all extractions need to be validated as tables.

Does the Unstructured and complex documents model learn based on human-in-the-loop (HITL) validation from Action Center?

No, there is no feedback loop between Action Center and Unstructured and complex documents models. This is planned to be supported in future releases alongside fine-tunable models.