azure-redis-dalle-semantic-caching

A 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.

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.

Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.

Cofoundry is an extensible and flexible .NET Core CMS & application framework focusing on code first development

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

A sample app for the 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.

Reference microservice solution built with the ABP Framework and .NET, runs on Kubernetes with Helm configuration, includes API Gateways, Angular and ASP.NET Core MVC applications, PostgreSQL and MongoDB databases

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

An ASP.NET Core middleware component which synchronises a correlation ID for cross API request logging.