Generative Extraction — Technical Deep Dive
🎯 Learning objectives
- Explain the two approaches to generative extraction in UiPath: Generative Classifier & Extractor, and IXP Generative Extraction
- Identify when to use each approach based on document complexity, table support, and confidence-scoring needs
- Describe what Part 1 (Generative Classifier and Extractor) and Part 2 (Generative Extractor in IXP) each cover
🔀 Generative Classifier & Extractor vs IXP Generative Extraction — when to use which?
UiPath offers two distinct approaches to generative extraction. Choosing the right one depends on your document complexity, table requirements, and project setup.
| Criteria | Generative Classifier & Extractor (DU Activities — Studio) |
Generative Extraction (IXP Project) |
|---|---|---|
| Table / column field extraction | ❌ Not supported — column fields are unsupported; workarounds are unreliable for large tables | ✅ Supported — handles complex, multi-column tables |
| Confidence scores | ❌ Generative AI does not produce confidence scores | ✅ Provides field-level confidence for human-in-the-loop routing |
| Max prompts per document | 50 prompts maximum per extraction call | No strict per-call prompt limit; managed at project level |
| Response word limit | 700 words per field response | Handles longer, unstructured responses natively |
| Best for | Teams already building DU workflows in Studio who need quick generative field extraction without a separate IXP project | Teams handling complex, high-volume documents needing confidence scoring, table extraction, and full monitoring |
💡 Rule of Thumb
Use Generative Classifier & Extractor (DU Activities) for quick, activity-based extraction in existing Studio workflows with simple fields. Switch to IXP Generative Extraction when you need table support, confidence-based routing, project-level management, or a full Build → Measure → Publish lifecycle.
📍 Where to start
Part 1 →
Generative Classifier and Extractor
Generative Classifier, Generative Extractor activity, and good practices for prompt-based extraction in Studio.
Part 2 →
Generative Extractor in IXP
Theory, Practical (Build → Measure → Publish), and Best Practices for the IXP Generative Extraction service.