# Overview

> Iterative process for building generative extraction models for unstructured and complex documents in IXP, from uploading sample documents through prompt engineering and output validation.

This section outlines the end-to-end process of building generative extraction models for unstructured and complex documents.

Building high-performing models is an iterative process that requires continuous prompt engineering and output validation.

## The model building process

1. Upload a sample of representative documents for the use case:
   * Identify what data points (fields) you want to extract and how they relate to each other (field groups).
   * Provide overall extraction instructions.
   * Create the corresponding extraction schema and provide field group and field instructions.
2. Validate and improve extractions:
   * Review the initial predictions, and notice how well they are performing.
   * Modify the prompt instructions and test the impact on the performance of the model.
   * Confirm or correct extractions to gather ground truth for performance evaluation.