rag-as-a-service-with-vision

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.

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.

A creative writing multi-agent solution to help users write articles.

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

A TypeScript sample app for the Retrieval Augmented Generation pattern running on Azure, using Azure AI Search for retrieval and Azure OpenAI and LangChain large language models (LLMs) to power ChatGPT-style and Q&A experiences.

Azure Developer College's application development training days content.

How to implement a streaming at scale solution in Azure

The application for the "Learning Blazor: Build Single Page Apps with WebAssembly and C#" O'Reilly Media book by David Pine.

Repositório responsável pela realiza??o do workshop de MEAN & Serverless

Build a generative AI application using LangChain.js, from local to Azure