Revolutionize Your Business with Smart .NET Apps - Azure and ChatGPT Integration

Discover the transformative power of AI in your .NET applications with ChatGPT, bringing unparalleled natural language experiences to your projects. In this post, Microsoft expert, Luis Quintanilla, explores the possibilities of building intelligent applications using the synergy of Azure services and ChatGPT, providing you with a step-by-step guide to unlock the full potential of your business.

The Power of AI in .NET: ChatGPT Integration

In the dynamic landscape of AI, ChatGPT stands out as a game-changer, not just as a tool but as a catalyst for redefining how we access and analyze data. Whether your data resides in Azure, SQL Server, or any other source, integrating ChatGPT into your .NET projects can elevate your applications to new heights.

Key Takeaways:

• Intelligent Applications Defined:Intelligent applications are AI-powered solutions that enhance user productivity, automate processes, and extract valuable insights. Explore real-world examples, like Bing Chat, where AI processes complex queries, summarizes information, and generates relevant responses.

• Building Intelligent .NET Apps:

Dive into a sample application that demonstrates the integration of .NET, Azure, and ChatGPT to create intelligent apps. Watch the video to see how an internal enterprise knowledgebase is transformed into a more user-friendly and productive experience.

Application Architecture:

• User Interface (UI):The Blazor Web Assembly static web application serves as the chat interface, accepting user queries and displaying responses. .NET MAUI is recommended for mobile or desktop client applications.
• Application Backend:ASP.NET Core Minimal API orchestrates interactions among services. Services include Azure Cognitive Search for document indexing, Azure OpenAI Service for ChatGPT models, and Azure Redis Cache for response caching.

Streamlined Resource Provisioning:

• Developer Environment: Simplify the process with the Azure Developer CLI and GitHub Code spaces for resource provisioning and quick setup. Provision services seamlessly without the need to install dependencies.

Optimizing ChatGPT on Your Documents:

• Knowledgebase Setup:Learn how to prepare your knowledgebase using a C# console application. Extract text from documents, split into excerpts, and upload to Azure Storage for indexing in Azure Cognitive Search.
• Token Limits Consideration:Understand token limits for Open AI models and adapt your knowledgebase building process to avoid exceeding these limits.

Chat with Your Data:

• Querying the Knowledgebase:Utilize Azure Cognitive Search for querying documents based on user questions. Translate natural language queries into search queries using ChatGPT for enhanced accuracy.

• Semantic Kernel Function:Implement Retrieval Augmented Generation to provide relevant document context for generating responses. Explore the use of Semantic Kernel to compose prompts for Azure Cognitive Search queries.

Generating Intelligent Responses:

• Answer Generation Process:Compose prompts for ChatGPT response generation, including chat history, documents, and follow-up questions. Understand the few-shot learning approach for enhancing model performance.
• Semantic Kernel Function for Answers:Leverage Semantic Kernel to generate responses that are concise, accurate, and trustworthy. Visualize responses with citations, full prompts, and supporting content for transparency.

Conclusion and Future Perspectives:

As you embark on the journey to build intelligent applications with ChatGPT in .NET, we invite you to explore the full potential of AI and create experiences that redefine the way your business operates.

Ready to embark on your intelligent application journey? Let's connect and start building today!

We're excited about the future of intelligent applications in .NET and look forward to witnessing the innovative solutions you create.