Vic Perdana's repositories
AspireShopWithSemanticKernel
🤖 🔋 Power up your Shopping Cart Application with AI powered by .NET Aspire and Semantic Kernel
sk-bingsummary-plugin
A Semantic Kernel Plugin to summarise results from a Bing Search query.
azure-aws-packer-example
Packer template for creating both AWS and Azure images.
aad-b2c-hrd
This project uses b2c custom policy to redirect users to different identity providers depending on domain_hint value.
aks-may-meetup
June Meetup session - Melbourne Azure Nights
aks-baseline
This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.
aks-kustomization-demo
This repo demonstrates the use of demo to deploy AKS
ansible_advance_homework
Fork The Repo for completing Ansible Advance Homework
aspire-samples
aspire-samples with AI
azureai-assistant-tool
The Azure AI Assistant Tool is experimental Python application and middleware designed to simplify the development, experimentation, testing, and debugging of OpenAI assistants.
build-your-own-copilot
Resources and examples for creating Co-Pilot applications that use modern AI to assist with complex tasks.
eShopOnContainers
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.
iaasautomation
Repo to demonstrate Azure Automation capabilities
kernel-memory
Index and query any data using LLM and natural language, tracking sources and showing citations.
kubernetes-the-hard-way-on-azure
Bootstrap Kubernetes the hard way on Microsoft Azure Platform. No scripts.
robofriends
Tutorial for ZTM course - React
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
Vector-Search-AI-Assistant-MongoDBvCore
Microsoft Official Build & Modernize AI Apps reference solution and content for implementing RAG Pattern solutions using vector search with Azure Cosmos DB MongoDB vCore with an AI assistant user experience.