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			46 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			46 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| import FeatureAvailability from '@site/src/components/FeatureAvailability';
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| 
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| # AI Documentation
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| 
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| <FeatureAvailability saasOnly />
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| 
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| With AI-powered documentation, you can automatically generate documentation for tables and columns.
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| 
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| <p align="center">
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| <iframe width="560" height="315" src="https://www.youtube.com/embed/_7DieZeZspY?si=Q5FkCA0gZPEFMj0Y" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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| </p>
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| 
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| ## Prerequisites
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| 
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| As of DataHub Cloud v0.3.12, AI documentation is in public beta. Admins (or users with the "Manage Platform Settings" privilege) can enable it from settings.
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| 
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| <p align="center">
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|   <img width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/automation/saas/ai-docs/ai-docs-toggle.png"/>
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| </p>
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| 
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| ## Usage
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| 
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| Ensure you have permissions to edit the dataset description. No other configuration is required - just hit "Generate" on any table or column in the UI.
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| 
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| All AI-generated documentation that has not been reviewed by a human will be marked as such with the sparkle icon.
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| 
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| <p align="center">
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|   <img width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/automation/saas/ai-docs/ai-docs-generation.gif"/>
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| </p>
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| 
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| ## How it works
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| 
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| Generating good documentation requires a holistic understanding of the data. Information we take into account includes, but is not limited to:
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| 
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| - Dataset name and any existing documentation
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| - Column name, type, description, and sample values
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| - Lineage relationships to upstream and downstream assets
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| - Metadata about other related assets
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| 
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| Data privacy: Your metadata is not sent to any third-party LLMs. We use AWS Bedrock internally, which means all metadata remains within the DataHub Cloud AWS account. We do not fine-tune on customer data.
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| 
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| ## Limitations
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| 
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| - AI documentation is not available for tables with more than 3000 columns (in v0.3.12 the limit was 1000 columns; prior to v0.3.12, it was 100 columns).
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| - This feature is powered by LLMs, which can produce inaccurate results. While we've taken steps to reduce the likelihood of hallucinations, they may still occur.
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