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Microsoft just dropped a game-changer! Azure SQL Database and SQL db in Fabric now support native vector search, making AI-powered applications more powerful than ever. In this video, we dive deep into Microsoft’s latest announcement about the LangChain-SQLServer integration, showcasing how you can harness SQL + AI to build smarter and more efficient retrieval-augmented generation (RAG) applications.
What You’ll Learn:
The role of the new langchain-sqlserver package
Live demo: Querying embeddings and integrating LangChain
Use cases: AI-powered chatbots, document retrieval & beyond
Whether you’re a developer, data engineer, or AI enthusiast, this update unlocks exciting possibilities in LLM-powered applications.
Chapters:
0:00 Introduction
2:28 LangChain
4:22 Demo
9:45 Getting started
Resources:
Building a Smart Chatbot with SQL Database in Microsoft Fabric, LangChain and Chainlit | Microsoft Fabric Blog: https://blog.fabric.microsoft.com/en-us/blog/building-a-smart-chatbot-with-sql-database-in-microsoft-fabric-langchain-and-chainlit?ft=All
LangChain Integration for Vector Support for SQL-based AI applications: http://aka.ms/langchainsqlexample
Package: langchain-sqlserver · PyPI
aka.ms/sqlai
aka.ms/sqlaisamples
Let’s connect:
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