12:00 午前 - 3:00 午前 (UTC)

This session is designed to help get started with SharePoint Embedded, a powerful, cloud-based file and document management system that seamlessly integrates with any application through its API-only solution. The session will cover the basics of SharePoint Embedded, including its key features and benefits. Learn how to set up and configure SharePoint Embedded, and leverage its capabilities to enhance your application's data management and collaboration. Best practices for implementation will be explored, along with practical examples to maximize the benefits of this innovative solution. Discover how SharePoint Embedded can transform the approach to data management and drive greater efficiency and productivity in any organization. Whether an enterprise developer or an ISV, this session provides the knowledge and tools needed to successfully integrate SharePoint Embedded into applications.

4:00 午後 - 5:00 午後 (UTC)

This project showcases a modern email assistant that leverages the power of Azure's Semantic Kernel, Microsoft Graph API, and NEON serverless PostgreSQL to create an intelligent email drafting and management system. The application can generate email drafts based on natural language descriptions, send them via Microsoft Graph API, and maintain a searchable history of both drafts and sent emails using vector embeddings for similarity search.

4:00 午後 - 5:00 午後 (UTC)

As vector search and RAG become mainstream for GenAI use cases, we’re looking ahead to what’s next. Generative Feedback Loops (GFL) represent the next evolution in AI where the AI outputs are improved over time through a cycle of feedback and learning based on the production data. In this talk, we’ll break down how this works, and you will learn how to build a sample AI app with feedback loops using Neon serverless Postgres, Azure Functions, and Azure OpenAI.

4:00 午後 - 5:00 午後 (UTC)

You’ve just launched the first version of your AI application and gained your first users. If you’re at this stage, congratulations! You’ve hit initial traction, but new challenges are just around the corner. AI apps need to handle data securely and efficiently to serve even more customers. This talk introduces a simple and powerful solution: using a “database-per-tenant” model for vector-based AI apps. We’ll showcase a real-world example of this architecture in action. You’ll see a full-stack Azure AI Chat app built with Neon serverless Postgres, Azure OpenAI, NextJS, Typescript, Azure Document Intelligence.