The AI Glossary Term Suggestion automation uses LLMs to suggest [Glossary Terms](../glossary/business-glossary.md) for tables and columns in your data.
This is useful for improving coverage of glossary terms across your organization, which is important for compliance and governance efforts.
This automation can:
- Automatically suggests glossary terms for tables and columns.
- Goes beyond a predefined set of terms and works with your business glossary.
- Automatically adjusts to human-provided feedback and curation (coming soon).
## Prerequisites
- A business glossary with terms defined. Additional metadata, like documentation and existing term assignments, will improve the accuracy of our suggestions.
As of v0.3.15, you can customize how classification recommendations are generated by providing custom instructions that are passed to the underlying AI model when generating classification decisions for any Table or Column. This is useful if you want AI-generated classification to follow specific guidelines or standards set by your organization.
To provide custom instructions for AI classification generation, simply provide them in the Custom Instruction input when creating the AI classification automation.
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.
