Text-to-SQL
Text-to-SQL是一种自然语言处理技术，旨在将用户以自然语言表达的查询意图自动转换为结构化查询语言（SQL）语句，从而使非技术用户能够直接与关系型数据库进行交互。该技术结合语义理解、数据库模式解析与语言生成能力，广泛应用于智能问答、数据分析辅助及企业数据查询系统等场景。
Timeline (last 90 days)
Text-to-SQL is a research direction in NLP with the core goal of automatically converting natural language questions into SQL query statements executable on relational databases
Early Text-to-SQL systems relied on rule matching and template filling, with limited accuracy and difficulty handling complex queries
All Facts (2)
Text-to-SQL is a research direction in NLP with the core goal of automatically converting natural language questions into SQL query statements executable on relational databases
95%UnverifiedEarly Text-to-SQL systems relied on rule matching and template filling, with limited accuracy and difficulty handling complex queries
90%