https://github.com/nitya/azure-ai-rag-workshop
Explore the Azure AI Foundry quickstarts and tutorials with retail copilot context in mind.
https://github.com/nitya/azure-ai-rag-workshop
Last synced: about 2 months ago
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Explore the Azure AI Foundry quickstarts and tutorials with retail copilot context in mind.
- Host: GitHub
- URL: https://github.com/nitya/azure-ai-rag-workshop
- Owner: nitya
- License: mit
- Created: 2024-12-09T18:14:24.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-02-25T16:31:18.000Z (3 months ago)
- Last Synced: 2025-03-27T02:11:21.429Z (2 months ago)
- Language: Python
- Homepage: https://nitya.github.io/azure-ai-rag-workshop/
- Size: 34 MB
- Stars: 5
- Watchers: 1
- Forks: 70
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Build a RAG-based Chat App on Azure AI Foundry
This repository contains the source and instructions guide for a workshop on building a RAG-based chat app using Azure AI Foundry. The workshop is derived from [the official 3-part tutorial](https://learn.microsoft.com/azure/ai-studio/tutorials/copilot-sdk-create-resources) and adapted to provide additional resources and suggestions for self-guided learners.
## Pre-Requisites
To get the most from this lab, you will need the following:
1. An Azure subscription - [Get one for free](https://aka.ms/azure/free)
1. A GitHub account - [Get one for free](https://github.com/signup)
1. Familiarity with VS Code, Github & Azure.
1. Familiarity with Python and Jupyter Notebooks.
Check that your Azure subscription has sufficient quota to deploy the following Azure OpenAI Models:
1. Chat: `gpt-4o-mini`
1. Embeddings: `text-embedding-ada-002`
Check that your Azure account has the necessary permissions to make role assignments for relevant Azure AI resources. (e.g., may require a [Privileged role](https://learn.microsoft.com/azure/role-based-access-control/built-in-roles#user-access-administrator) like Owner, User Access Admin or RBAC Admin)
## Getting Started
This repository is instrumented with a `devcontainer.json` to give you a development environment with all required dependencies pre-installed. To get started:
1. [Fork the repository](https://github.com/nitya/azure-ai-rag-workshop) to your personal profile.
1. Launch Codespaces on that fork.
Setup may take a few minutes. Once ready, you will see a Visual Studio Code editor.
1. Wait for the terminal prompt then launch the workshop guide with this command:
```bash
mkdocs serve
```
You will be prompted to view this in a browser or within VS Code. _Select the browser option to get the workshop guide in its own tab_.
1. Open a _new_ terminal window in Visual Studio Code, and use this window for executing further commands from the guide.
## Cleanup
This workshop will deploy AI models and an Azure AI Search resource that have associated costs for usage. The workshop also uses GitHub Codespaces which has a relatively generous _but finite_ quota for usage.
To minimize unexpected Azure costs or usage of your codespaces quota, please remember to do the following:
1. Delete the GitHub Codespaces instance by visiting [https://github.com/codespaces/](), selecting your specific Codespace instance, opening the dropdown menu and clicking **Delete**.
1. Delete the Resource Group for the project by visiting [https://portal.azure.com](), selecting the relevant resource group and clicking **Delete resource group** in options.
Revisit both pages after sufficient time has past for the tasks to be completed. Refresh to make sure the resources were cleaned up correctly.
---
## Troubleshooting
This section will capture any known issues in using this repo or workshop guide.