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- DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
- A Solution Accelerator bringing together the latest AI agentic patterns and Azure services to automate the first line of review for documents across any domain.
- Sample - how to deploy Spring Boot apps to Azure?
- This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
- 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.
- This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
- A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
- A sample app for the Retrieval-Augmented Generation pattern using LlamaIndex.ts, running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences using your own data.
- A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
- Spring Petclinic Microservices with AI on Azure Container Apps