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In our journey through Retrieval-Augmented Generation so far, we've focused primarily on unstructured data—text documents, web content, and other narrative information. However, structured data represents another vast universe of knowledge that organizations rely on daily: databases with customer records, financial transactions, inventory details, and countless other vital information assets.

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RAG for Structured Data: Building Question-Answering Systems for SQL Databases and CSV Files

  • 章节

  • 发表日期：

    2025年

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  • Ranajoy Bose

摘要

In our journey through Retrieval-Augmented Generation so far, we've focused primarily on unstructured data—text documents, web content, and other narrative information. However, structured data represents another vast universe of knowledge that organizations rely on daily: databases with customer records, financial transactions, inventory details, and countless other vital information assets.