Building AI applications with Open-source database - PostgreSQL
338 | Sat 02 Aug 5:30 p.m.–6:15 p.m.
Presented by
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Gauri Kasar works as a PM at Microsoft in the Azure Databases for PostgreSQL Flexible Server team. She’s passionate about building impactful open-source products and actively contributes to fostering strong, inclusive tech communities. Before joining Microsoft, Gauri worked as a Software Engineer with Oracle and Quantiphi focusing on designing and implementing scalable systems, optimizing performance, and ensuring robust architecture. She did her master's in computer science from Portland State University. In her spare time, she likes to attend dance classes, cook and go trekking.
Gauri Kasar works as a PM at Microsoft in the Azure Databases for PostgreSQL Flexible Server team. She’s passionate about building impactful open-source products and actively contributes to fostering strong, inclusive tech communities. Before joining Microsoft, Gauri worked as a Software Engineer with Oracle and Quantiphi focusing on designing and implementing scalable systems, optimizing performance, and ensuring robust architecture. She did her master's in computer science from Portland State University. In her spare time, she likes to attend dance classes, cook and go trekking.
Abstract
Curious about how to build AI applications with the tools you already know and love? This beginner-friendly session will show you how PostgreSQL can be the backbone of your AI workloads. We’ll break down key concepts like vector embeddings, vector search, and Retrieval-Augmented Generation (RAG) in a simple, easy-to-understand way. Then, we’ll dive into how PostgreSQL’s native features and extensions make it easy to store, search, and scale AI data — no special infrastructure needed.
Best of all, you'll see everything come to life through a hands-on, step-by-step demo where we’ll build a complete, Generative AI application powered entirely by PostgreSQL.
Curious about how to build AI applications with the tools you already know and love? This beginner-friendly session will show you how PostgreSQL can be the backbone of your AI workloads. We’ll break down key concepts like vector embeddings, vector search, and Retrieval-Augmented Generation (RAG) in a simple, easy-to-understand way. Then, we’ll dive into how PostgreSQL’s native features and extensions make it easy to store, search, and scale AI data — no special infrastructure needed. Best of all, you'll see everything come to life through a hands-on, step-by-step demo where we’ll build a complete, Generative AI application powered entirely by PostgreSQL.