Azure Samples
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- DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
- This sample has the full End2End process of creating RAG application with Prompty and AI Studio. 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 creative writing multi-agent solution to help users write articles.
- This Quickstart uses Azure Developer command-line (azd) tools to create functions that respond to HTTP requests. After testing the code locally, you deploy it to a new serverless function app you create running in a Flex Consumption plan in Azure Functions. This follows current best practices for secure and scalable Azure Functions deployments
- An Azure OpenAI end-to-end chat example used in the Azure Architecture Center.
- This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
- A variation of the Azure OpenAI chat baseline, altered to be deployed specifically into an application landing zone.
- This repository offers a Python framework for a retrieval-augmented generation (RAG) pipeline using text and images from MHTML documents, leveraging Azure AI and OpenAI services. It includes ingestion and enrichment flows, a RAG with Vision pipeline, and evaluation tools.
- 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 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.