Abstract: In-context learning methods for multi-turn text-to-SQL tasks often suffer from instability due to error propagation, and their performance falls short of ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...
This application enables users to interact with an e-commerce SQL database using natural language queries. It leverages two specialized AI agents: SQL Agent: Converts natural language questions into ...
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