
Additional question in regard to this . Does it use text to sql query in the backend or it vectorize the data in the backend?
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Hello,
I'm using SQL tables from a Synapse Dedicated Pool as a knowledge source in a Copilot agent. The datasets are quite large, but I've noticed that the Copilot agent only queries up to 2,048 rows (tested across multiple tables).
How can I configure my Copilot agent to query the entire dataset and generate accurate responses?
Note: The data is structured (row-based), which is why I’m not considering Azure AI Search for this scenario.
Any insights or recommendations would be greatly appreciated!
Additional question in regard to this . Does it use text to sql query in the backend or it vectorize the data in the backend?