This repository contains a curated list 📃 of AI solution accelerators by Microsoft. Feel free to submit a PR to propose changes or add new ones.
| 🎁 Project | 📚 Description | ⭐ Stars |
|---|---|---|
| 🆕 GraphRAG Solution Accelerator for Azure Database for PostgreSQL | Legal Research Copilot Example Solution built with Generative AI capabilities of PostgreSQL on Azure |  |
| Chat with Your 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. |  |
| Build Your Own Copilot | This solution accelerator is a powerful tool that helps you create your own copilots. The accelerator can be used by any customer looking for reusable architecture and code snippets to build custom copilots with their own enterprise data. |  |
| Conversational Knowledge Mining | This solution accelerator enables customers with large amounts of conversational data to use generative AI to surface key phrases alongside operational metrics. This enables users to discover valuable insights for targeted business impact. |  |
| Task Management | This solution accelerator uses purpose-built task management within the Microsoft Sustainability Manager (MSM) to meet task creation, tracking and resolution demands. |  |
| Comparative Analysis in Sustainability | This solution accelerator enables companies to detect compliance gaps, benchmark against their peers, and generate action plans to ensure they’re on track to meet their sustainability goals |  |
| 🎁 Resource | 📚 Description |
|---|---|
| GenAI Gateway Guide Documentation | Designing and implementing a gateway solution with Azure OpenAI resources. |
| GenAI Gateway Labs | This repo contains a set of experiments and labs on using GenAI capabilities of Azure API Management with Azure OpenAI and other services. |
| GenAI Gateway Accelerator | This repo contains the Azure API Management landing zone accelerator that provides an architectural approach and reference implementation to prepare landing zone subscriptions for a secure API Management infrastructure. |