Business Glossary for AI
A business glossary for AI is a curated set of definitions for company-specific terms—what counts as an "active user", how "revenue" is calculated—provided to an AI system so it interprets questions the way the business does.
In Depth
Every company speaks a dialect. "Active user" might mean logged in within 30 days at one company and performed a billable action at another; "revenue" might or might not include refunds and credits. A human analyst absorbs these definitions over months. An AI needs them written down: a glossary that maps business vocabulary to precise data logic. This is often the difference between an AI tool that gives technically-correct-but-wrong answers and one the team actually trusts—because two people asking the same question must get the same number.
How AI for Database Helps
AI for Database grounds answers in your schema and context so business questions resolve to consistent, verifiable queries—and you can always inspect the SQL to confirm the interpretation.
Related Terms
Semantic Layer
An abstraction layer that translates complex database structures into business-friendly terms and metrics.
Metric Definition
A metric definition is the precise, agreed specification of how a business metric is calculated—which tables, filters, and formulas produce numbers like MRR, churn rate, or active users.
Data Dictionary
A data dictionary is a centralized reference that documents every table and column in a database—what it contains, what its values mean, and how it should be used.
Schema Linking
Schema linking is the step in text-to-SQL where words in a user's question are matched to the specific tables and columns in the database that they refer to.
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