# REMIX

Relational database synthesis has largely covered numerical and categorical columns, leaving text columns and cross-table semantic rules handled separately. REMIX builds the database as a typed heterogeneous graph, tunes a small language model through graph-to-prompt mapping so it generates mixed-type records under relational context, and has a large language model discover and validate semantic dependencies that are compiled into tested repair programs. Across seven real relational databases, REMIX lowers the average constraint violation rate by at least 49.11% relative to baselines on four text-free databases and by at least 47.69% on three text-rich ones.

Relational database synthesis has largely covered numerical and categorical columns, leaving text columns and cross-table semantic rules handled separately. REMIX builds the database as a typed heterogeneous graph, tunes a small language model through graph-to-prompt mapping so it generates mixed-type records under relational context, and has a large language model discover and validate semantic dependencies that are compiled into tested repair programs. Across seven real relational databases, REMIX lowers the average constraint violation rate by at least 49.11% relative to baselines on four text-free databases and by at least 47.69% on three text-rich ones.