ChatGPT + Enterprise data with Azure OpenAI and Cognitive Search

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It utilises ChatGPT model (gpt-35-turbo) in Azure OpenAI Service as a Generative AI platform, and Azure Cognitive Search for data indexing and retrieval.

======>> Original source code can be found here <<======.

The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

Note from Laziz: I'm currently updating this repo to migrate from ChatML syntax (used in OpenAI API v2022-12-03) to newer Chat Completion (with OpenAI API v2023-05-15), as it's required for the interactions with GPT4 models.

Features

• Chat and Q&A interfaces
• Explores various options to help users evaluate the trustworthiness of responses with citations, tracking of source content, etc.
• Shows possible approaches for data preparation, prompt construction, and orchestration of interaction between model (ChatGPT) and retriever (Cognitive Search)
• Settings directly in the UX to tweak the behavior and experiment with options

Installation

Project Initialization

1. Create a new folder and switch to it in the terminal
2. Run azd auth login
3. Run azd init -t azure-search-openai-demo
   • For the target location, the regions that currently support the models used in this sample are East US or South Central US. For an up-to-date list of regions and models, check here

Starting from scratch:

Execute the following command, if you don't have any pre-existing Azure services and want to start from a fresh deployment.

1. Run azd up - This will provision Azure resources and deploy this sample to those resources, including building the search index based on the files found in the ./data folder.
2. After the application has been successfully deployed you will see a URL printed to the console. Click that URL to interact with the application in your browser.

It will look like the following:

NOTE: It may take a minute for the application to be fully deployed. If you see a "Python Developer" welcome screen, then wait a minute and refresh the page.

Use existing resources:

1. Run azd env set AZURE_OPENAI_SERVICE {Name of existing OpenAI service}
2. Run azd env set AZURE_OPENAI_RESOURCE_GROUP {Name of existing resource group that OpenAI service is provisioned to}
3. Run azd env set AZURE_OPENAI_CHATGPT_DEPLOYMENT {Name of existing ChatGPT deployment}. Only needed if your ChatGPT deployment is not the default 'chat'.
4. Run azd env set AZURE_OPENAI_GPT_DEPLOYMENT {Name of existing GPT deployment}. Only needed if your ChatGPT deployment is not the default 'davinci'.
5. Run azd up

NOTE: You can also use existing Search and Storage Accounts. See ./infra/main.parameters.json for list of environment variables to pass to azd env set to configure those existing resources.

Deploying or re-deploying a local clone of the repo:

• Simply run azd up

Running locally:

1. Run azd login
2. Change dir to app
3. Run ./start.ps1 or ./start.sh or run the "VS Code Task: Start App" to start the project locally.

Sharing Environments

Run the following if you want to give someone else access to completely deployed and existing environment.

1. Install the Azure CLI
2. Run azd init -t azure-search-openai-demo
3. Run azd env refresh -e {environment name} - Note that they will need the azd environment name, subscription Id, and location to run this command - you can find those values in your ./azure/{env name}/.env file. This will populate their azd environment's .env file with all the settings needed to run the app locally.
4. Run pwsh ./scripts/roles.ps1 - This will assign all of the necessary roles to the user so they can run the app locally. If they do not have the necessary permission to create roles in the subscription, then you may need to run this script for them. Just be sure to set the AZURE_PRINCIPAL_ID environment variable in the azd .env file or in the active shell to their Azure Id, which they can get with az account show.

Quickstart

• In Azure: navigate to the Azure WebApp deployed by azd. The URL is printed out when azd completes (as "Endpoint"), or you can find it in the Azure portal.
• Running locally: navigate to 127.0.0.1:5000

Once in the web app:

• Try different topics in chat or Q&A context. For chat, try follow up questions, clarifications, ask to simplify or elaborate on answer, etc.
• Explore citations and sources
• Click on "settings" to try different options, tweak prompts, etc.

Resources

• Revolutionize your Enterprise Data with ChatGPT: Next-gen Apps w/ Azure OpenAI and Cognitive Search
• Azure Cognitive Search
• Azure OpenAI Service

Note

Note: The PDF documents used in this demo contain information generated using a language model (Azure OpenAI Service). The information contained in these documents is only for demonstration purposes and does not reflect the opinions or beliefs of Microsoft. Microsoft makes no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the information contained in this document. All rights reserved to Microsoft.