Azure Samples
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azure-search-openai-demo
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.
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cognitive-services-speech-sdk
cognitive-services-speech-sdk PublicSample code for the Microsoft Cognitive Services Speech SDK
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graphrag-accelerator
graphrag-accelerator PublicOne-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
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active-directory-aspnetcore-webapp-openidconnect-v2
active-directory-aspnetcore-webapp-openidconnect-v2 PublicAn ASP.NET Core Web App which lets sign-in users (including in your org, many orgs, orgs + personal accounts, sovereign clouds) and call Web APIs (including Microsoft Graph)
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chat-with-your-data-solution-accelerator
chat-with-your-data-solution-accelerator PublicA 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 mos…
Repositories
- fabric-sqldb-ai-ragpipeline Public
The repository contains Python code for a data pipeline that ingests files from Azure Blob Storage, extracts and chunks text, redacts sensitive information, and generates embeddings. The embeddings and redacted chunks are stored in a SQL database in Fabric
- modern-data-warehouse-dataops Public
DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
- reflective-rag-with-taxonomy Public
- frontdoor-app-gateway-path-limit-bypass Public
This sample objective to handle the path limit of 200 origins of Front Door and / or 100 backends of Application Gateway, for very large deployments / migrations that all applications is under a unique URL and distributed by paths
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- indexadillo Public
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.
