Azure Samples
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- DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
tayra
PublicTayra is a sophisticated call center analytics platform designed to systematically evaluate and score call center audio interactions. By processing audio files into transcriptions and applying various evaluation models, Tayra helps organizations measure performance, compliance, and customer satisfaction in a streamlined, automated manner.- 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.
azure-search-openai-demo
PublicA 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.azure-sql-langchain
Public- A simple chat application that integrates Microsoft Entra ID for user authentication. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
- This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
rag-postgres-openai-python
Public templateA RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.openai-end-to-end-basic
PublicAn Azure OpenAI end-to-end chat example used in the Azure Architecture Center.aks-labs
Publicon-the-road-copilot
PublicA minimal speech-to-structured output app built with Azure OpenAI Realtime API.- 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 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.
- Reusable OpenAI secure UI and infrastructure for AI Chat with Azure
azure-openai-keyless-js
PublicExample Azure OpenAI deployment and RBAC role for your user account for keyless access- Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
hpcpack-samples
Public- Build a generative AI application using LangChain.js, from local to Azure