18 docs tagged with "enrichment"

Understand the key design decisions behind each context agent—why descriptions are verbose, what READMEs are optimized for, how SQL Intelligence works today, and where it's headed.

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.

How to scope which assets to enrich, choose the right bulk mechanism, sequence enrichment so it grounds AI reliably, and answer the overwrite, quality, and security questions.

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

Enrich tables, dashboards, and glossary terms with descriptions, owners, and tags using Atlan MCP — directly from Claude, Cursor, or any connected AI client.

Migrate metadata enrichment between connections during system rebuilds or migrations. Reference for workflow configuration, enrichment selection, and transformation mapping rules.

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

Enrich your catalog metadata so Atlan MCP returns more relevant results. Learn how MCP ranks results, which trust signals to prioritize, and how to enrich your catalog at scale.

Put a collection on a schedule so its AI-written descriptions and READMEs are filled in for new assets and regenerated when an asset changes.

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

Learn where Atlan stores the three kinds of asset description, which one appears in the UI, and what happens when you accept or edit an AI-generated description.

Learn how to write custom instructions that help Context Agents Studio generate accurate, business-relevant metadata descriptions for your organization.