#Azure

GraphRAG is a data pipeline designed to convert unstructured text into structured data using LLMs. It enhances data interpretation through knowledge graph structures, offering a methodology for analyzing private narrative data. The GraphRAG Accelerator allows integration with Azure, simplifying deployment. While effective, managing GraphRAG's indexing is crucial as it can be costly. For optimal performance, it is advisable to use prompt tuning and follow given guidelines. Microsoft Research's blog and GitHub discussions provide further insights.

Discover a curated list of HashiCorp's Terraform resources, helping users effectively manage production infrastructure. This platform offers official resources, community modules, guides, and supports cloud services like AWS, Azure, and Google Cloud, catering to both beginners and experts in dynamic environments.

This project delivers an intuitive interface for the OpenAI Assistants API, simplifying the setup process with ASSISTANT IDs. Offering features like file handling, streaming API, and support for various assistant profiles, it boosts user engagement and efficiency. Compatible with Azure OpenAI, it facilitates easy deployment through Streamlit Cloud or Docker, with strong authentication protocols. Designed for versatile applications, it offers a seamless experience with quick setup and detailed environment configurations. A great choice for developers pursuing streamlined assistant integrations in flexible environments.

This guide outlines the recommended baseline infrastructure for AKS clusters, assisting teams in deploying key components such as identity, network topology, and secret management. It supports multi-regional growth with secure traffic and serves as a foundation for production stages, integrating Azure services for enhanced lifecycle and deployment management.

Explore an organized collection of Microsoft architectural icons in PowerPoint that simplifies the integration process for users. This project gathers key SVG icon sets from Microsoft Learn, covering platforms such as Azure, Dynamics365, Power Platform, and Entra, reducing manual effort and ensuring compliance with Microsoft's usage guidelines. Ideal for architectural presentations, the collection is readily available for download, facilitating efficient usage for both designers and developers.

Explore the profile of a Technology Architect with expertise in cloud services like AWS, GCP, and Azure, as well as Big Data systems. Vaquar Khan brings experience in cloud architecture and polyglot programming, including Java, Python, and Scala. The site provides insights on distributed systems and microservices, and highlights his contributions on platforms like GitHub and StackOverflow for technical knowledge and collaboration.

Discover how to contribute effectively to Azure DevOps documentation and release notes while adhering to Microsoft's Open Source Code of Conduct. Get guidance and training by reaching out to the project contacts for seamless content contribution.

Explore the migration from an on-premises ASP.NET application to an Azure-based solution using the reliable web app pattern for .NET, demonstrated through a concert ticketing app example. This guide explains cost-efficient resource management using a hub and spoke network topology, ensures secure traffic control with Azure Network Security Groups, and maintains consistent session management via Azure Cache for Redis. Global traffic management and secure content delivery are facilitated by Azure Front Door and Azure Web Application Firewall, providing a solid approach for developers to improve security and performance.

This project presents a comprehensive enterprise-grade reference architecture for building JavaScript applications using OpenAI and Azure services. It focuses on composable frontends and cloud-native application frameworks, including AI chatbot functionality, real-time notification, and Stripe-based payment services. The architecture supports Azure Developer CLI and Playwright testing tools, emphasizing secure and scalable application deployment on Azure. Suitable for developers aiming to utilize cloud services for crafting advanced applications.

This tool enables automatic generation of code documentation using OpenAI and local LLMs like Llama.cpp and Ollama across multiple languages such as Python, Java, and Rust. It integrates with Treesitter and supports both Azure OpenAI and local models, simplifying documentation with minimal terminal commands. Supporting models like GPT-4 while ensuring data security in local implementations, the project welcomes contributions and issue reports for ongoing improvement.

Discover Project Miyagi, an interactive workshop that leverages Microsoft's Copilot Stack to facilitate the creation of AI-enhanced enterprise applications. Learn about both traditional and cutting-edge machine learning techniques, including prompt engineering and vectorization. Gain insights into building scalable and maintainable AI-driven products with tools like Semantic Kernel and Promptflow. Explore how to modernize applications using AI through practical examples and resources.

Explore a web-based chat application that integrates OpenAI models with PostgreSQL, optimized for Azure. Built with React on the frontend and Python with FastAPI on the backend, the project offers advanced question-answering and vector-based search via pgvector. It features ease of deployment on Azure Container Apps and Azure PostgreSQL Flexible Server, utilizes hybrid search functionality, and employs OpenAI function calls for query optimization. Suitable for developers focusing on cloud resource utilization, improving database queries, and streamlined deployment using Azure Developer CLI.

Access comprehensive Azure-based resources for academic communities, covering AI, data science, and cross-platform development. Participate in project-based curricula, hackathons, and workshops. Ideal for K-12 to higher education, these materials support educators, students, and lifelong learners in advancing their technical skills.

Discover a broad range of Azure cloud design patterns with detailed code examples for asynchronous request-reply, choreography, and more. This guide complements Azure Architecture Center articles and showcases key patterns such as deployment stamps and health endpoint monitoring. It also includes important contributions while aligning with the Microsoft Open Source Code of Conduct, making it a valuable resource for developers seeking to improve their cloud architecture.

Azure-PlantUML supports the creation of Azure system diagrams by using PlantUML sprites, macros, and official Microsoft Azure architecture icons. It enables the visualization of all Azure services, including those manually extracted from Azure.com. The tool allows integration with C4-PlantUML to develop detailed C4 models for Azure architectures. .NET technology backing and Visual Studio Code snippets improve user experience, offering open-source customization and extension possibilities. Its features and compatibility with Playwright and Json.NET make it suitable for professionals in documenting or designing comprehensive Azure architectures.

This repository provides comprehensive examples and best practices for building computer vision systems, utilizing cutting-edge algorithms and neural network architectures. It includes tools to improve, assess, and scale models by incorporating advanced libraries, thus aiding data scientists and machine learning engineers in expediting real-world projects. The focus is on efficient time-to-market strategies, supporting various tasks such as image classification and action recognition with deployment capabilities on cloud services like Azure, using Jupyter notebooks and PyTorch for demonstration.

This guide offers a comprehensive overview of building and deploying ChatGPT applications with Azure, featuring step-by-step instructions on configuring chat UI, authenticating with Azure Active Directory, and logging data via Azure Log Analytics and Cosmos DB. Essential prerequisites for both local and Azure deployments are covered, along with detailed setup for Azure OpenAI Service and Active Directory applications. Leverage the optimized development environment supported by GitHub Codespaces to seamlessly integrate with Azure's powerful infrastructure.

tts-server-go is an open-source text-to-speech server utilizing modern Go architecture for enhanced speech synthesis. It supports easy configuration and deployment directly in the browser via port 1233, seamlessly integrating with Azure and Edge APIs. The server is compatible with established interfaces, offering a practical solution for developers to incorporate TTS features. Download conveniently available in both stable and development variants, ensuring quick setup and optimal performance in TTS applications.

This implementation outlines top practices for deploying microservices on Azure with Kubernetes, featuring Fabrikam's drone delivery service. It showcases various microservices like ingestion and scheduling, simulating real-world designs. Tested to handle up to 2000 messages/sec, it ensures reliable performance. Visit Azure Architecture Center for more insights.

Delve into the extensive network of .NET creators who offer valuable insights through blogs, YouTube, and more, all in English. This compilation organizes creators by country, highlighting those with recent contributions in fields like .NET MAUI, ASP.NET Core, and architecture during 2022/2023. Participate actively by recommending notable creators, ensuring the platform reflects a comprehensive and up-to-date view of the worldwide .NET community.

The Workshop Instructional Materials library provides customizable resources created by Cloud Advocates and Microsoft Student Ambassadors, designed for AI, data, and web/app development training. The content is adaptable to various skill levels and can be tailored to specific community needs, including language and topics. The library includes tutorials on technologies like Azure, Python, and React, offering guides, training videos, and tutorials for diverse educational facilitation.

This project offers examples for updating traditional ASP.NET WebForms, MVC, and N-Tier applications with Windows Containers and Azure. Deployment options include Azure Container Instances, Windows Server 2016 VMs, AKS Kubernetes, and Azure Web Apps for Containers. It enhances DevOps efficiency without altering app architecture for CRUD applications using SQL Server. Refer to the Wiki for setup and deployment instructions, and explore options for both mock data and real database connections.

ChatGPT CLI delivers an effective command-line interface for direct AI model interactions using platforms like OpenAI and Azure, featuring streaming and query modes. Compatible with services like Perplexity AI and Llama, it supports real-time conversations and automatic context management via threads. Installation options include Homebrew and direct download, catering to diverse user needs for managing AI models.

The eShopOnWeb ASP.NET Core application illustrates single-process, monolithic architecture suitable for .NET beginners. It complements the ebook on modern web architectures and provides practical guidance on design principles and architectural patterns while focusing on traditional app development. The project aids in enhancing enterprise-level web applications on Azure with clear deployment instructions, offering reliability through supplementary guidelines.

This tool converts various model APIs into the OpenAI API format, supporting Azure OpenAI, YI 34B, and Google Gemini Pro. It enables environment variable-based configuration, foregoing traditional config files, and offers setup options like Docker for fast deployment. With secure API key management and model name mapping for compatibility, this project is suited for developers seeking an easy-to-use, unified API solution across different AI models.

The terraform-azurerm-caf module allows for effective resource management in Microsoft Azure, suitable for standalone use or within Azure Terraform Landing zones. While it is no longer maintained by Microsoft, it continues to be supported by the open-source community. Transition to Microsoft Azure Verified Modules is advised for ongoing support. An Azure subscription is necessary, with access available through the Terraform registry. Users can benefit from comprehensive guides and examples to optimize their cloud infrastructure management.

NubesGen simplifies the Azure deployment process, enabling production readiness with just one 'git push'. It offers online instances and thorough documentation, designed to be accessible and straightforward for developers. NubesGen supports seamless Azure integration for efficient application deployment while adhering to Microsoft's branding guidelines to avoid sponsorship confusion. Explore how NubesGen can enhance cloud deployments with its streamlined approach.

The app, initially created for reading application network narration, integrates Microsoft interfaces, enables HTTP request customization, and allows local TTS engine imports. It also supports narrative/dialog recognition using Chinese quotes, along with features like automatic retries and backup configurations, making it a versatile tool for text-to-speech needs.

Explore a detailed guide on deploying an e-commerce platform with .NET Aspire's service-based architecture. This documentation outlines requirements for Windows, Mac, and Linux, and includes instructions for Visual Studio or CLI setups. Learn how to integrate Azure services, including OpenAI, to enhance AI capabilities, simplifying development of robust e-commerce solutions.