Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
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Updated
Mar 18, 2024 - Bicep
Build a recommender using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
Build a Retrieval Augmented Generation solution using OpenAI, Azure Functions, Azure Static Web Apps, Azure SQL DB, Data API builder and Text Embeddings
Samples on how to use SQL Server and Azure SQL with .NET Aspire
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Library app built with SQL Server and Data API builder as backend, and Blazor as frontend.
Data API Builder 2.x quickstart: Entra ID inbound, managed identity outbound, API-level RLS
Data API Builder 2.x quickstart: Entra ID inbound, managed identity outbound, DB-level RLS
Data API Builder 2.x quickstart: Anonymous inbound, SQL auth outbound
Data API Builder 2.x quickstart: Entra ID inbound, managed identity outbound
Data API Builder 2.x quickstart: Anonymous inbound, managed identity outbound
This is a sample application that demonstrates Azure development patterns with AI integration. It showcases a full-stack application built with a Python frontend, Data API Builder (backend API), Azure SQL Database, and Azure AI Foundry protected throughout with Entra ID. Deployment uses Azure Developer CLI and Bicep Infrastructure as Code (IaC).
REST API and GraphQL API with Azure Data Builder API
A quick learn through building a blazor app with the automagic data api in azure static web apps
Template repository for Data API builder quickstarts
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