Unverified60% confidenceFactTime unknown
Text-to-SQL accuracy rates can now exceed 90% with Agent architectures and deep AI engineering practices
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Related Claims
UnverifiedClaude Code + DeepSeek方案质量接近Opus水平，通过优化Prompt可达到88%-90%准确率，且比Opus便宜30倍以上68% similarUnverified使用AI调试三件套母版（完整报错信息+相关代码片段+预期运行方式）后，答案准确率从30%提升到90%以上，且基本一次就能解决问题67% similarVerified已有从业者反馈其所在公司要求AI代码生成率必须达到90%以上，达不到直接影响绩效66% similarUnverifiedNL2SQL 技术在 Spider 等基准测试上已达到80%以上的准确率，但在多表 JOIN 和子查询等复杂操作中准确率显著下降65% similarUnverified在 Spider、BIRD 等主流 Text-to-SQL 评测中顶级模型准确率已超过 85%63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/59803API
curl https://kongchang.com/api/v1/knowledge/claims/59803MCP
get_claim(id=59803)