AI Design Wins 2024 Demos

This repository contains notebooks that explain how Azure AI Search works, RAG with Azure Open AI, building Agent with Azure Open AI Function calling.

Pre-requisites

The following Azure resources need to be provisioned before running the demo

1. Azure AI Search
2. Azure Open AI service

Environment setup

1. Create a .env with these variables, with the values taken from .env.sample.

   AZURE_OPENAI_SERVICE="SERVICE-NAME"
   AZURE_OPENAI_API_KEY=AZURE_OPENAI_API_KEY
   AZURE_OPENAI_DEPLOYMENT_NAME=DEPLOYMENT-NAME
   AZURE_OPENAI_EMBEDDING_DEPLOYMENT=AZURE_OPENAI_EMBEDDING_DEPLOYMENT
   AZURE_SEARCH_SERVICE=SEARCH-SERVICE-NAME
   AZURE_SEARCH_SERVICE_KEY=AZURE_SEARCH_SERVICE_KEY

2. Create a Python virtual environment or open the project in a container. (Skip if using CodeSpace)

3. Install the requirements (Skip if using CodeSpace):

   pip install -r requirements.txt

Notebooks

These are the available notebooks, in suggested order:

• Vector Embeddings Notebook
• Azure AI Search Notebook
• RAG with Azure AI Search
• Build Agent with Function calling