SQL queries can be intimidating, especially for non-technical users. What if we could bridge the gap between human language and structured SQL statements? Enter SQLGenie—a tool that translates natural language queries into SQL by understanding database schemas and user intent.
To build SQLGenie, I explored multiple approaches—from state-of-the-art LLMs to efficient rule-based systems. Each method had its strengths and limitations, leading to a hybrid solution that balances accuracy, speed, and cost-effectiveness.
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