SQL + AI Datathon: Building Intelligent Apps with SQL

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SQL + AI Datathon: Building Intelligent Apps with SQL

加入 Microsoft Reactor 并实时与开发人员互动

准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

形式:
直播

主题: AI 应用程序

语言: 英语

此系列中的活动:
2

This livestream series is designed to help developers build real AI‑powered applications using SQL as the foundation in the SQL + AI Datathon. We'll walk through each of the Datathon's missions that take you from generating embeddings and implementing semantic search, to building retrieval‑augmented generation (RAG) workflows, building agents, and delivering a complete full‑stack application.

即将举办的活动

单击下面的活动以了解详细信息并注册各个活动。

所有时间采用 - 协调世界时

2月

星期四

2026

Getting Started with SQL + AI

7:00 下午 - 8:15 下午 (UTC)

Welcome to the SQL + AI Datathon! In this session, you’ll learn more about the datathon and walk through everything you need to get started building intelligent applications powered by SQL. We’ll cover environment setup, explore the MSSQL extension to improve your developer experience, and work through the first datathon mission, laying the foundation for building modern AI workloads with SQL. 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025

形式:
直播

主题: AI 应用程序

语言: 英语

详细信息

2月

星期四

2026

Building RAG‑Powered Intelligent Apps with SQL

7:00 下午 - 8:15 下午 (UTC)

Welcome to the SQL + AI Datathon! In this session, we prepare you to complete the final Datathon missions. We bring everything together starting from notebooks to a working application. You’ll orchestrate SQL + AI workflows using notebooks and agent-style patterns, then turn those workflows into a full-stack application with SQL Server 2025. We’ll cover how to treat SQL queries as retrieval tools, wire them into RAG-based workflows, and expose SQL data through APIs using Data API Builder (DAB). By the end, you’ll understand how embeddings, RAG, and SQL-powered APIs fit together to support a small-scope open hack. 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025