RAT-SQL is a relation-aware schema encoding model for text-to-SQL parsing published at ACL 2020. It uses transformer architectures with relation-aware attention mechanisms to encode database schemas and link natural language utterances to SQL queries. The model handles schema encoding and value linking for English-to-SQL generation, evaluated on Spider and WikiSQL benchmarks.