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https://issues.apache.org/jira/browse/HIVE-29681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18092479#comment-18092479
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Zhihua Deng commented on HIVE-29681:
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Attached the initial design document
> Introduce dynamic table discovery to Metastore
> ----------------------------------------------
>
> Key: HIVE-29681
> URL: https://issues.apache.org/jira/browse/HIVE-29681
> Project: Hive
> Issue Type: Sub-task
> Reporter: Zhihua Deng
> Assignee: Zhihua Deng
> Priority: Major
> Attachments: design.pdf
>
>
> Today, metadata search in MetaStore is effective when users know exact or
> partial table names, database names, or schema fields. However, it performs
> poorly for natural-language or concept-driven queries such as:
> * “monthly customer churn tables”
> * “finance datasets with invoice amount”
> * “profile tables with email and phone”
> * “recommendation feature tables”
> AI agents increasingly expect Metastore to understand intent, synonyms, and
> business terminology, without changing MetaStore’s role as the source of
> truth. This Jira is trying to solve this gap, will attach the design document
> later.
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