Unverified50% confidenceFactExact time
Improvements in large language model capabilities have significantly increased the accuracy of NL2SQL tools in scenarios involving multi-table joins, time windows, or complex aggregations.
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50%
Confidence
Long-term
Relevance
9/15/2026
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UnverifiedNL2SQL（Natural Language to SQL）在大模型时代准确率得到质的飞跃，但仍面临多表关联、业务术语歧义等挑战76% similarUnverified研究表明提供3-5个高质量示例即可显著提升SQL生成的准确率，尤其对包含复杂JOIN、子查询或窗口函数的场景72% similarUnverified语义注入层而非模型扩参，是提升企业 Text-to-SQL 可靠性的更优路径69% similarUnverifiedNatural language database querying technology (Text-to-SQL/NL2SQL) uses large language models to automatically generate SQL statements by combining natural language queries with database schema information.66% similarUnverifiedThe accuracy of current mainstream large models in generating standard SQL has exceeded 90%, but human verification is still required in scenarios involving complex multi-table joins and database-specific dialects.65% similar
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