Imagine asking your database complex questions in plain English and getting perfect SQL queries in return. That's the promise of Text-to-SQL, a field revolutionized by powerful AI models like GPT. But what if you could achieve similar results without relying on closed-source giants? Enter SQLfuse, an innovative system that uses open-source AI to translate your everyday language into precise SQL queries. The challenge with traditional Text-to-SQL is bridging the gap between the way humans speak and the rigid structure of database languages. SQLfuse tackles this by breaking down the translation process into four key steps: mining the database's schema for essential information, linking this schema to the user's question, generating SQL code based on this understanding, and finally, critiquing and refining the generated SQL. SQLfuse's secret weapon is its ability to deeply understand database structure. It not only extracts obvious elements like table names and column types, but also deciphers hidden connections between data points. Think of it as an AI detective uncovering the relationships between suspects (your data) to solve a case (your query). This deep understanding allows SQLfuse to generate SQL that is not only grammatically correct but also reflects the user's intent, even for complex queries involving joins, aggregates, and subqueries. Furthermore, SQLfuse learns from its mistakes. It uses execution feedback to identify and fix errors, and ranks multiple SQL candidates to choose the best. This constant self-improvement ensures SQLfuse gets smarter with each use, delivering increasingly accurate results. The results speak for themselves. SQLfuse boasts an impressive 85.6% accuracy on the challenging Spider benchmark, outperforming many other open-source systems. But SQLfuse isn't just a research project; it's a real-world solution. Ant Group uses it to power its online data analytics and transaction processing platforms, handling millions of queries daily. SQLfuse represents a new era of database interaction. Its unique approach combines the power of AI with the flexibility of open-source technology, making sophisticated data analysis accessible to everyone. While future improvements are still being explored, like incorporating more sophisticated data augmentation and user preference learning, SQLfuse stands as a powerful demonstration of how AI can democratize access to data.