Build AI apps with Azure Database for PostgreSQL

4:00 em - 5:15 em (UTC)

Join us to explore how to transform a traditional financial application into an intelligent, AI-powered solution using PostgreSQL and Azure. In this hands-on session, you'll learn how to integrate generative AI to deliver high-quality responses to financial queries through a smart copilot that leverages PDF-based Statements of Work (SOWs) and invoices. We'll guide you through: Performing AI-driven data validation Using the Azure AI extension for PostgreSQL Implementing vector search with DiskANN indexes Enhancing results with semantic re-ranking Building with the LangChain agent/tools framework Applying GraphRAG on Azure Database for PostgreSQL By the end of the session, you'll have built a practical, end-to-end AI-driven application---and gained the skills to apply these techniques to your own data and projects.

4:00 em - 5:15 em (UTC)

Discover how to build an advanced AI agent using Azure Database for PostgreSQL. This session will showcase an end-to-end example of how to create and advanced AI agent, integrating generative AI capabilities to enhance data validation, you will learn about Retrieval-augmented generation (RAG), semantic re-ranking, Semantic Kernel (an AI agent framework) and GraphRAG using the Apache AGE Graph database for PostgreSQL extension. Using a sample dataset of legal cases, we will show how AI technologies can be combined to provide high-quality responses to legal questions through an intelligent agent. You will gain practical insights and learn how to leverage Azure PostgreSQL to create robust and intelligent solutions for your applications using your own data.