DevSquad Conversational AI: Bot Project

Reference Architecture

Custom RAG pattern for Cognitive Search

Note

• Generated using dotnet new echobot v4.17.1
• .NET Template Package

Resources

• Create a bot with the Bot Framework SDK
• Get started using GPT-35-Turbo and GPT-4 with Azure OpenAI Service
• Chat with Azure OpenAI models using your own data

Deploy the bot to Azure

To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.

Create an identify for your Bot:

• Single-tenant az ad app create --display-name "<app-registration-display-name>" --sign-in-audience "AzureADMyOrg"
• Multi-tenant az ad app create --display-name "<app-registration-display-name>" --sign-in-audience "AzureADandPersonalMicrosoftAccount"

Other Resources

• Introduction to Azure OpenAI Service
• Azure OpenAI Service Documentation
• Bot Framework Documentation
• Bot Basics
• Activity processing
• Azure Bot Service Introduction
• Azure Bot Service Documentation
• .NET Core CLI tools
• How to work with the GPT-35-Turbo and GPT-4 models
• Semantic search or vector search for your index
• Channels and Bot Connector Service
• Azure Cognitive Search resources
• Retrieval Augmented Generation (RAG) in Azure Cognitive Search
• Language Understanding using LUIS

Check More DevSquad Projects

• DevSquad Main Project

Note: This page is getting updated so make sure to check regularly for new resources.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.