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updated readMe images
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@@ -61,7 +61,7 @@ The sample data used in this repository is synthetic and generated using Azure O
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This diagram double-clicks into the agentic framework for the code conversion process. The conversion uses an agentic approach with each agent playing a specialized role in the process. The system gets a list of SQL files which are targeted for conversion. 
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**Step 1:** The system loops through the list of SQL files, converting each file, starting by passing the SQL to the Migrator agent. This agent will create several candidate SQL files that should be equivalent. It does this to ensure that the system acknowledges that most of these queries could be converted in a number of different ways. *Note that the processing time can vary depending on OpenAI and cloud services.*
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**Step 1:** The system loops through the list of SQL files, converting each file, starting by passing the SQL to the Migrator agent. This agent will create several candidate SQL files that should be equivalent. It does this to ensure that the system acknowledges that most of these queries could be converted in a number of different ways. *Note that the processing time can vary depending on Azure OpenAI service and cloud services.*
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**Step 2:** The Picker agent then examines these various possibilities and picks the one it believes is best using criteria such as simplicity, clarity of syntax, etc.
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