AI_CONTEXT table description ingestion built

ID	M0-AICONTEXT-004
Status	completed
Priority	p1
Milestone	m0-prototype
Owner	data-ai-engineer-architect
Initiative	profiling-foundation-layers-1-5

Problem

Database tables often have human-authored descriptions (via COMMENT ON or equivalent DDL), but the profiling pipeline did not capture or surface them. AI agents working with catalog metadata had no access to these descriptions, missing the most basic form of semantic context that database administrators had already provided. This meant the context catalog lacked even the lowest-hanging fruit for enrichment — descriptions that already existed in the database itself.

Context

Table descriptions are fetched from warehouse metadata where supported.
Table descriptions are present in context artifacts used by AI flows.
Remaining metadata gaps are explicitly tracked as separate M1 tasks.

Possible Solutions

Plan

Validate adapter coverage and fallback behavior remain stable.
Reference this baseline from M1 description merge and dbt ingestion tasks.
Keep known limitations documented for pilot users.

Implementation Progress

Prototype baseline recorded as completed and linked to follow-on milestone work.
Remaining scope is tracked in explicit M1+ tasks rather than implicit debt.
AI Context Architecture current-status table

Review Feedback

[ ] Review cleared