While building an LLM-powered Text-to-SQL framework, many developers encounter a fundamental issue when scaling into production databases: it is not scalable to pass the whole database schema to the LLM prompt and expect the LLM to handle the sheer volume of data. Not only do models have limited context windows, but even those with a large enough one will eventually struggle to make sense of the database schema and distinguish which columns or tables are actually relevant to the user’s question. ...

In today’s software-driven world, data has become the backbone of countless services used by billions of people worldwide, with SQL serving as the primary language for managing it. With the vast majority of the world’s structured data stored in relational databases, SQL remains the most widely used language for querying and managing information. From analysts and data scientists to software engineers, millions of professionals rely on SQL every day to access, analyze, and transform data. ...