12 docs tagged with "enrichment"

Frequently asked questions about the AI Application Risk Classifier app.

Configuration reference for enriching AI Application assets with risk metadata using the AI Application Risk Classifier.

Automate metadata enrichment at scale using AI-powered context agents that generate descriptions, READMEs, and SQL intelligence across your most important data assets.

Beyond the default mapped [dbt Cloud](/apps/connectors/etl-tools/dbt/references/what-does-atlan-crawl-from-dbt-cloud) or [dbt Core](/apps/connectors/etl-tools/dbt/references/what-does-atlan-crawl-from-dbt-core) properties, you can update any of Atlan's metadata attributes (except for `name`, `tenantId`, and `qualifiedName`) through your dbt model's `meta` property.

Reference for enriching AWS Glue table statistics in Atlan using S3 inventory data.

Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.

Complete configuration reference for the Enrichment Migrator app properties and settings.

Understand how the AI Application Risk Classifier evaluates AI Application metadata based on the EU AI Act framework.

Answers to common questions about Context Agents Studio—covering enrichment behavior, collections, agent support, processing time, and AI credit usage.

Learn how to use the Tableau Migration Manager app to migrate asset enrichments between Tableau assets in the same connection.

Understand the collections available in Context Agents Studio—curated groups of data assets automatically surfaced from usage signals to help you prioritize metadata enrichment.

Learn about the AI-powered context agents available in Context Agents Studio—specialized agents that generate descriptions, READMEs, and SQL intelligence.