Azure AI Search Demos

This repository contains many notebooks that explain how Azure AI Search works, including several showcasing how vector search works.

Environment setup

1. Run azd up on azure-search-openai-demo with GPT-4-vision enabled. This will create the necessary resources for the Azure OpenAI, Azure AI Search services, and the Computer Vision service.

2. Create a .env with these variables, and the values taken from .azure/ENV-NAME/.env

   AZURE_OPENAI_SERVICE=YOUR-SERVICE-NAME
   AZURE_OPENAI_DEPLOYMENT_NAME=YOUR-OPENAI-DEPLOYMENT-NAME
   AZURE_OPENAI_ADA_DEPLOYMENT=YOUR-EMBED-DEPLOYMENT-NAME
   AZURE_SEARCH_SERVICE=YOUR-SEARCH-SERVICE-NAME
   AZURE_COMPUTERVISION_SERVICE=YOUR-COMPUTERVISION-SERVICE-NAME
   

3. Login to the Azure Developer CLI:

   azd auth login
   

4. If you deployed your resource group to a tenant other than your home tenant, set the tenant ID:

   export TENANT_ID=YOUR-TENANT-ID
   

Notebooks

These are the available notebooks, in suggested order:

• Vector Embeddings Notebook
• Azure AI Search Notebook
• Image Search Notebook
• Azure AI Search Relevance Notebook
• RAG with Azure AI Search
• RAG Evaluation

You can find video recordings going through the notebooks here.