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Context Agents Studio Private Preview

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Atlan Lakehouse must be enabled on your tenant before Context Agents Studio can be activated.

Most data catalogs fail not because they lack the right tools—but because keeping metadata current is too slow and manual to scale. Assets go undocumented, business terms stay disconnected from technical tables, and analysts spend hours figuring out what data means instead of using it. Context Agents Studio changes that by automating enrichment at scale: AI-powered agents analyze your actual usage signals—query history, lineage, BI activity—to generate descriptions, READMEs, and SQL intelligence across your most important assets. What used to take months of manual curation takes days.

What context agents can do

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Generate descriptions

AI analyzes table names, lineage, and query patterns to write business-meaningful descriptions—not generic restatements of column names

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Generate READMEs

Produce higher-level documentation for tables, datasets, and BI assets covering purpose, structure, and usage patterns

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Surface SQL intelligence

Extract popular joins, common filters, business questions, and foreign key relationships from query history and attach them to the relevant tables and views

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Link glossary terms (coming soon)

Semantically match business glossary terms to assets—bridging how the business talks about data and how it's technically structured

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Track metadata coverage

Monitor coverage % per attribute across collections—descriptions, owners, certifications, READMEs, terms, and tags—to identify and close gaps

Enrich at scale

Trigger enrichment across entire collections with a single click—agents process hundreds or thousands of assets without manual intervention

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Have questions? See the Metadata enrichment FAQ.