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.gitignore

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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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.DS_Store

00_Introduction/README.md

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This guide will walks through the creating intelligent solutions that combines vCore-based Azure Cosmos DB for MongoDB vector search and document retrieval with Azure OpenAI services to build a chat bot experience. The guide includes labs that build and deploy a sample chat app using these technologies, with a focus on vCore-based Azure Cosmos DB for MongoDB, Vector Search, and Azure OpenAI using the Python programming language. For those new to using Azure OpenAI and Vector Search technologies, the guide includes explanations of the core concepts and techniques used when implementing these technologies.
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> **Note:** This developer guide is targeted towards Python developers. If you are a Node.js developer, then you may be interested in the Node.js version here: [https://github.com/solliancenet/cosmos-db-openai-nodejs-dev-guide](https://github.com/solliancenet/cosmos-db-openai-nodejs-dev-guide)
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> **Note:** This developer guide is targeted towards Python developers. If you are a Node.js developer, then you may be interested in the Node.js version here: [https://github.com/AzureCosmosDB/Azure-OpenAI-Node.js-Developer-Guide](https://github.com/AzureCosmosDB/Azure-OpenAI-Node.js-Developer-Guide)

05_Explore_OpenAI_models/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_0_explore_and_use_models.ipynb).
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Visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_0_explore_and_use_models.ipynb).

06_Provision_Azure_Resources/README.md

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> **Note**: You will need an Azure Subscription and have the necessary permissions to provision the Azure resources.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/deploy/deploy.md).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/deploy/deploy.md).

07_Create_First_Cosmos_DB_Project/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_1_first_application.ipynb).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_1_first_application.ipynb).
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The following concepts are covered in detail in this lab:
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08_Load_Data/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_2_load_data.ipynb).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_2_load_data.ipynb).
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This lab demonstrates the use of bulk operations to load product, customer, and sales data into Azure Cosmos DB API for MongoDB collections. As an example, the following code snippet inserts product data using the `bulk_write` method allowing for upsert functionality using the `UpdateOne` method:
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09_Vector_Search_Cosmos_DB/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_3_mongodb_vector_search.ipynb).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_3_mongodb_vector_search.ipynb).
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Some highlights from the lab include:
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10_LangChain/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_4_langchain.ipynb).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_4_langchain.ipynb).
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Some highlights of the lab include:
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11_Backend_API/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs/blob/main/lab_4_langchain.ipynb).
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Please visit the lab repository to complete [this lab](https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide/blob/main/Labs/lab_4_langchain.ipynb).

Labs/deploy/deploy.md

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- Azure CLI installed
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- Azure PowerShell installed
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## Clone labs repo
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## Clone the repository
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Open a terminal window, create a new folder and clone the labs repository using Git into the new folder:
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Create a folder to house the repository. Open a terminal and navigate to the folder. Clone the repository, then navigate to the `Labs/deploy` folder within the repository.
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```powershell
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mkdir labs
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cd labs
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```bash
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git clone https://github.com/AzureCosmosDB/Azure-OpenAI-Python-Developer-Guide.git
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git clone https://github.com/solliancenet/cosmos-db-openai-python-dev-guide-labs.git
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```
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Navigate to the `/deploy` folder within the repo folder:
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```powershell
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cd Azure-OpenAI-Python-Developer-Guide
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cd Labs
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cd deploy
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```
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