Let's build an AI Python App with mssql-python & SQL Server 2025 - From the Product Team
Regular 50 minute session for SQLBits 2026TL; DR
Build an AI-powered Python app using the new mssql-python driver and SQL Server 2025 containers in this hands-on session. Learn how to leverage vector support, implement RAG scenarios, and apply performance tuning tips from the product team. Developers will master AI integration, while DBAs gain practical skills for deploying and managing SQL Server containers.
Session Details
Ready to take your Python applications to the next level? In this hands-on session, we’ll build an AI-driven Python app from scratch using the all-new mssql-python driver and SQL Server 2025 containers all deployed on Windows with Visual Studio Code.
We’ll explore cutting edge features like native vector support and demonstrate how developers can implement Retrieval-Augmented Generation (RAG) scenarios for AI applications. Additionally, we’ll share performance tuning best practices straight from the driver product group to help you optimize your app for speed and efficiency.
For DBAs, we’ll cover container deployment and management best practices, helping you kickstart your journey into modern database environments. Whether you’re a developer or a DBA, this session will equip you with practical skills to harness SQL Server 2025 for AI innovation
We’ll explore cutting edge features like native vector support and demonstrate how developers can implement Retrieval-Augmented Generation (RAG) scenarios for AI applications. Additionally, we’ll share performance tuning best practices straight from the driver product group to help you optimize your app for speed and efficiency.
For DBAs, we’ll cover container deployment and management best practices, helping you kickstart your journey into modern database environments. Whether you’re a developer or a DBA, this session will equip you with practical skills to harness SQL Server 2025 for AI innovation
3 things you'll get out of this session
Here are the key takeaways:
Hands-on experience building an AI-powered Python app using the new mssql-python driver and SQL Server 2025 containers.
Practical understanding of vector support and RAG scenarios for integrating AI capabilities into real-world applications.
Step-by-step guidance for deploying and managing SQL Server containers, empowering DBAs to modernize their environments confidently.
Hands-on experience building an AI-powered Python app using the new mssql-python driver and SQL Server 2025 containers.
Practical understanding of vector support and RAG scenarios for integrating AI capabilities into real-world applications.
Step-by-step guidance for deploying and managing SQL Server containers, empowering DBAs to modernize their environments confidently.
Speakers
Amit Khandelwal's other proposed sessions for 2026
Master SQL Server Containers: A DBA’s Guide to Deployment, Management & Modernization to Kubernetes - 2026
Modern AI with SQL Server on Ubuntu: Containers, Vector Search & Beyond - 2026
SQL Server on OpenShift: Unified deployment and management for Windows, Linux & Containers - 2026
What’s New in SQL Server 2025 on Linux: Containers, Kubrenetes- From the product team - 2026
Amit Khandelwal's previous sessions
Zero to Hero with SQL Server on Linux - DBA & Developers
This is a demo filled session where we talk about SQL Server on Linux. We start with basics like using Ansible scripts to deploy SQL Server on Linux, configure best practices to run SQL Server on Linux and also talk about advanced options like configuring performance best practices and HA/DR solutions for SQL Server. Finally, we will discuss the latest news about SQL Server on Linux coming hot from the Microsoft product team.
SQL Server Containers & Kubernetes - Going to Production!
Are you a Database Administrator, DevOps engineer, Cloud Architect or a Developer looking to modernize your data estate and build a true hybrid data estate that does not restrict your choice of deployment? Then this session is for you, learn how you can crawl, walk and run with SQL Server containers in Kubernetes!!