In the previous tutorial, we explored how agentic RAG can handle complex queries on structured data in the form of tables using pandas. Now, we'll see how we can do the same for SQL databases.
In a basic RAG setup, these queries would be passed as-is to a search function, potentially missing important context or failing to leverage the structured nature of the data. For example, the code ...
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