colincmac

ai-rag-techniques-on-azure

Comprehensive list of strategies to enhance your LLM's ability to reason about your private data.

asyncapi-react

React component for rendering documentation from your specification in real-time in the browser. It also provides a WebComponent and bundle for Angular and Vue

AI-in-a-Box

ai-microhack-starters

api-management-developer-portal

Developer portal provided by the Azure API Management service.

api-management-policy-snippets

Re-usable examples of Azure API Management policies

apiops

APIOps applies the concepts of GitOps and DevOps to API deployment. By using practices from these two methodologies, APIOps can enable everyone involved in the lifecycle of API design, development, and deployment with self-service and automated tools to ensure the quality of the specifications and APIs that they’re building.

azure-docs

Open source documentation of Microsoft Azure

azure-openai-chat-baseline-landing-zone

A variation of the Azure OpenAI chat baseline, altered to be deployed specifically into an application landing zone.

Azure-Verified-Modules

Azure Verified Modules (AVM) is an initiative to consolidate and set the standards for what a good Infrastructure-as-Code module looks like. Modules will then align to these standards, across languages (Bicep, Terraform etc.) and will then be classified as AVMs and available from their respective language specific registries.

AzureOpenAI-with-APIM

Deploy APIM. Auto-configure it to work with your Azure Open AI.

Build-your-own-AI-Assistant-Solution-Accelerator

Solution Accelerator to show how to build your own AI Assistant

chat-with-your-data-solution-accelerator

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.

finnts

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

gh-copilot-bitesized-1

GPT-RAG

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

gpt-rag-orchestrator

graph-practical-gremlin

Practical Gremlin - An Apache TinkerPop Tutorial

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

graphrag-accelerator

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

health-check-architecture

healthcheck-architecture

kaito

Kubernetes AI Toolchain Operator

Mission-Critical-Connected

openai-end-to-end-baseline

rag-experiment-accelerator

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

Real-time-Payment-Transaction-Processing-at-Scale

spring-jms-proxy-example

teams-copilot-starter

Teams Copilot Starter has been developed as a starter template for solutions targeting generative AI chatbots in Microsoft Teams. It can assist companies jumpstart their AI and Copilot efforts.