UiPath Documentation
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  • Overview
    • Introduction
    • Extracting data from unstructured documents
    • Building and deploying models
    • Quotas
  • Model building
  • Model validation
  • Model deployment
    • Overview
    • Publishing model versions
    • Managing published versions
    • Building and consuming a workflow
    • CLI
  • API
  • Frequently asked questions
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Unstructured and complex documents user guide

Last updated Mar 4, 2026

Overview

Model deployment is a critical phase in the lifecycle of a machine learning project, and ensures that the developed model is effectively integrated into an automation workflow.

This section outlines the process and best practices for deploying generative extraction models for unstructured and complex documents within the UiPath® Automation Cloud™ platform.

The model deployment process​

  1. Publish Unstructured and complex documents projects, or individual model versions.
  2. Manage the published projects.
  3. Consume the published projects.
  • The model deployment process​

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