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.

Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

Generate alt text for your images!

This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.

A fully python based Streamlit development harness for ChatGPT hosted in Azure OpenAI Service.

This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.

Unofficial PowerShell Module for OpenAI, Azure OpenAI and almost all the GPT services or even local LLMs

Short list of indirect prompt injection attacks for OpenAI-based models.

A full-stack AI-powered microblogging application leveraging Azure Static Web Apps, Azure Functions, and Remix SSR with Azure OpenAI GPT-4o.

In this repository, you will find an example code for creating an interactive chat experience that allows you to ask questions about your CSV data with chart visualization capabilities.

This example shows how a multitenant service can distribute requests evenly among multiple Azure OpenAI Service instances and manage tokens per minute (TPM) for multiple tenants.

This example shows how a multitenant service can distribute requests evenly among multiple Azure OpenAI Service instances and manage tokens per minute (TPM) for multiple tenants.

Sample demonstrating how to load balance requests between multiple Azure OpenAI Services using Azure API Management.

In this repository, you will discover how Streamlit, can work seamlessly with Azure OpenAI Service's Embedding and GPT 3.5 models. These tools make it possible to create a user-friendly web application that enables users to ask questions in natural language about a PDF file they have uploaded.

AzChat - Chat with Azure OpenAI Service

用 .NET 技術學習 Azure OpenAI Service

Workshop for Azure IoT

Microsoft AI Classroom Hackathon 2023 Submission

This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.

Simple RESTful API of GPT-4/ChatGPT with Azure OpenAI Service for testing and internal use