Azure Samples
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- Indexadillo helps you push data to Azure AI Search in a scalable, observable way. Instead of using a pull-based DSL approach, this solution uses Azure Durable Functions to handle everything from parsing your documents to uploading embeddings.
- Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.
- A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
- A Java Web API that calls another web API with the Microsoft identity platform using the On-Behalf-Of flow
- Spring Petclinic Microservices with AI on Azure Container Apps
- DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
- A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
- A creative writing multi-agent solution to help users write articles.
- Code Examples used by the Quickstarts in the Cognitive Services Documentation
- Serverless RAG application with LlamaIndex and code interperter on Azure Container Apps
- A variation of the Azure OpenAI chat baseline, altered to be deployed specifically into an application landing zone.
- This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
- An Azure OpenAI end-to-end chat example used in the Azure Architecture Center.
- Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure