2025年12月6日 –, Activities & Open Spaces 語言: English
In this hands-on lab, you will build an agent-driven Retrieval-Augmented Generation (RAG) application using a U.S. Case Law dataset. You will work with Azure Database for PostgreSQL, Visual Studio Code, and the Semantic Kernel Agent Framework to explore AI-powered text and vector search. The lab also introduces GraphRAG with Apache AGE, enabling enriched querying across structured and graph-based data. By the end, you'll gain practical skills in semantic search, vector indexing, and intelligent data retrieval.
DINGDING TO FILL OUT
Gauri Kasar is a Product Manager 2 at Microsoft, focusing on Azure Database for PostgreSQL. She specializes in high availability, replication, and scaling for AI-driven workloads. With a strong technical background in software engineering, Gauri enjoys building solutions that enable advanced analytics, inference, and RAG pipelines. She is passionate about combining technical expertise with product strategy to drive impactful results.
