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.devcontainer/devcontainer.json

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{
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"name": "hands-on-lab-neo4j-and-azure",
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"name": "neo4j-and-azure-lab",
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"image": "mcr.microsoft.com/devcontainers/python:3.12-bookworm",
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"forwardPorts": [8000],
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"features": {

Lab_0_Sign_In/README.md

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![Resource Group Information](images/oneblink_rg.png)
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## Improving the Labs
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As you work through these labs, we'd really appreciate your feedback. One way to help us improve is to open an issue by going [here](https://github.com/neo4j-partners/hands-on-lab-neo4j-and-azure/issues). Outright bugs, usability suggestions, and general comments are all appreciated. Pull requests are great too!
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As you work through these labs, we'd really appreciate your feedback. One way to help us improve is to open an issue by going [here](https://github.com/neo4j-partners/neo4j-and-azure-lab/issues). Outright bugs, usability suggestions, and general comments are all appreciated. Pull requests are great too!
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## Sign into Azure
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We're going to sign into a new Azure account. You may already have other Azure accounts. If you use Chrome, you might consider using a guest profile for these exercises. That's not mandatory though and other browsers work fine too.

Lab_4_Start_Codespace/README.md

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Click the buttons below to start your development environment:
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/neo4j-partners/hands-on-lab-neo4j-and-azure)
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/neo4j-partners/neo4j-and-azure-lab)
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## What is a GitHub Codespace?
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### Step 1: Download the Project
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1. Go to https://github.com/neo4j-partners/hands-on-lab-neo4j-and-azure
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1. Go to https://github.com/neo4j-partners/neo4j-and-azure-lab
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2. Click the green "Code" button
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3. Select "Download ZIP" (or clone with `git clone`)
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4. Extract the ZIP file to a location on your computer

README.md

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# hands-on-lab-neo4j-and-azure
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# Neo4j And Azure Lab
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Neo4j is the [leading graph database](https://db-engines.com/en/ranking/graph+dbms) vendor. We've worked closely with Microsoft Azure engineering for years. Our products, AuraDB and AuraDS are offered as managed services on Azure. Neo4j Aura Professional Edition is offered in the [Azure Marketplace](https://portal.azure.com/#create/neo4j.neo4j_aura_professional).
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In this hands-on lab, you'll learn about Neo4j, Microsoft Foundry, and the [Microsoft Agent Framework](https://github.com/microsoft/agent-framework). The lab is designed for data scientists, data engineers, and AI developers who want to master GraphRAG (Graph Retrieval-Augmented Generation) techniques and build production-ready agentic AI applications.
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### Step 1: Download the Project
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1. Go to https://github.com/neo4j-partners/hands-on-lab-neo4j-and-azure
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1. Go to https://github.com/neo4j-partners/neo4j-and-azure-lab
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2. Click the green "Code" button
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3. Select "Download ZIP"
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4. Extract the ZIP file to a location on your computer (e.g., `C:\Projects\hands-on-lab-neo4j-and-azure`)
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4. Extract the ZIP file to a location on your computer (e.g., `C:\Projects\neo4j-and-azure-lab`)
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### Step 2: Install Python 3.12
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1. Open VS Code
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2. Click "File" > "Open Folder"
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3. Navigate to where you extracted the project (e.g., `C:\Projects\hands-on-lab-neo4j-and-azure`)
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3. Navigate to where you extracted the project (e.g., `C:\Projects\neo4j-and-azure-lab`)
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4. Click "Select Folder"
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### Step 9: Set Up Python Environment

TEMPLATE.md

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# Neo4j GenAI Hands-On Lab with Microsoft Foundry Program Template, 2026
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# Neo4j And Azure Lab - GraphRAG Workshop Program Template, 2026
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## Program Name
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graphacademy/slides/README.html

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</ol>
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<h2 id="%F0%9F%96%BC%EF%B8%8F-images"><img class="emoji" draggable="false" alt="🖼️" src="https://cdn.jsdelivr.net/gh/jdecked/twemoji@16.0.1/assets/svg/1f5bc.svg" data-marp-twemoji=""/> Images</h2>
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<p>All slides reference images in the <code>../images/</code> directory. Make sure the images folder is at the same level as the graphacademy folder:</p>
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<pre is="marp-pre" data-auto-scaling="downscale-only"><code>hands-on-lab-neo4j-and-azure/
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<pre is="marp-pre" data-auto-scaling="downscale-only"><code>neo4j-and-azure-lab/
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├── images/ ← Images here
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└── graphacademy/
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└── slides/ ← Slides here

graphacademy/slides/README.md

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All slides reference images in the `../images/` directory. Make sure the images folder is at the same level as the graphacademy folder:
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```
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hands-on-lab-neo4j-and-azure/
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neo4j-and-azure-lab/
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├── images/ ← Images here
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└── graphacademy/
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└── slides/ ← Slides here

pyproject.toml

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[project]
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name = "neo4j-azure-ai-workshop"
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version = "0.1.0"
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description = "Hands-on lab for Neo4j and Microsoft Foundry"
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description = "Neo4j and Azure Lab - GraphRAG workshop with Microsoft Foundry"
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readme = "README.md"
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requires-python = ">=3.12,<3.13"
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dependencies = [

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