Build AI apps with Azure Database for PostgreSQL

4:00 odp. - 4:45 odp. (UTC)

In this session we'll dive into the fascinating world of AI and explore the powerful capabilities of Azure Database for PostgreSQL. We'll start by introducing some fundamental AI concepts, setting the stage for a deeper understanding of Large Language Models (LLMs) and its applications. Next, we'll explore how Azure PostgreSQL supports vectors, enabling richer and more meaningful semantic searches. We'll also discuss vector indexes like DiskANN, which significantly boost the performance and relevance of search results. Additionally, we'll delve into the Azure AI extension, a fantastic tool that helps us enrich our data with advanced AI capabilities. By the end of this session, you'll have a solid understanding of how to leverage these powerful features to enhance your projects.

4:00 odp. - 4:45 odp. (UTC)

This talk will delve into how the Visual Studio Code extension for PostgreSQL can streamline your database management, while GitHub Copilot's AI-powered assistance can boost your productivity. Learn how to seamlessly integrate these tools to enhance your workflow, automate repetitive tasks, and write efficient code faster. Whether you're a developer, data scientist, or database administrator, this session will provide you with practical insights and techniques to elevate your data and AI projects. Join us to learn how to effectively use these advanced tools and take your data skills to the next level.

4:00 odp. - 5:15 odp. (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 odp. - 5:15 odp. (UTC)

Discover how to build an advanced AI agent using Azure Database for PostgreSQL. This session will showcase an end-to-end example of an advanced AI agent that integrates 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 Database for PostgreSQL to create robust and intelligent solutions for your applications using your own data. 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.