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text_2_sql/GETTING_STARTED.md

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@@ -5,7 +5,7 @@ To get started, perform the following steps:
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1. Setup Azure OpenAI in your subscription with **gpt-4o-mini** & an embedding model, alongside a SQL Server sample database, AI Search and a storage account.
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2. Clone this repository and deploy the AI Search text2sql indexes from `deploy_ai_search`.
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3. Run `uv sync` within the text_2_sql directory to install dependencies.
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4. Configure the .env file based on the provided sample
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4. Create your `.env` file based on the provided sample `.env.example`. Place this file in the same place as the `.env.example`.
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5. Generate a data dictionary for your target server using the instructions in `data_dictionary`.
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6. Upload these data dictionaries to the relevant contains in your storage account. Wait for them to be automatically indexed.
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6. Upload these data dictionaries to the relevant containers in your storage account. Wait for them to be automatically indexed with the included skillsets.
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7. Navigate to `autogen` directory to view the AutoGen implementation. Follow the steps in `Iteration 5 - Agentic Vector Based Text2SQL.ipynb` to get started.

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