AI Models Translate Natural Language to SQL, Empowering Data Access

AI models can now translate natural language into SQL, enabling non-technical users to access data efficiently; techniques like context building and intent understanding improve translation quality, evaluated through synthetic benchmarks and AI-based judging.

• Gemini models can generate SQL directly from natural language, increasing productivity and enabling non-technical users to access data.
• Techniques like context building, understanding user intent, and handling SQL dialects are used to improve text-to-SQL quality.
• Robust evaluation methods, including synthetic benchmarks and LLM-based judging, are employed to measure and drive improvements in text-to-SQL capabilities.