Glossary · Database

Schema Introspection

Schema introspection is the automatic process of reading a database's own metadata to discover its tables, columns, data types, keys, and relationships.

Every major database can describe itself: Postgres and MySQL expose catalogs like information_schema that list every table, column, type, and constraint. Schema introspection queries this metadata so a tool can learn a database's structure in seconds with no manual setup–no uploading documentation, no hand-drawn diagrams. For AI query tools this is the critical first step: the introspected schema is what gets sent to the model so it generates SQL against your real structure rather than a guess. It also means the tool stays current–re-introspect after a migration and the AI knows about the new columns.

In practice

How AI for Database applies it

AI for Database introspects your schema automatically on connection, and only this structural metadata–never your actual rows–is sent to the AI.
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