Enhancing Text-to-SQL With Synthetic Summaries
Read OriginalThe article discusses a method to enhance text-to-SQL systems using Large Language Models (LLMs). It addresses the challenge of providing LLMs with sufficient database context by using Retrieval-Augmented Generation (RAG) with synthetically generated, detailed summaries of sample SQL queries. This approach improves retrieval accuracy and helps the LLM generate more relevant and accurate SQL in response to natural language questions.
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