Build Gen AI applications with LangChain and SQL | Data Exposed

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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. 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: https://pypi.org/project/langchain-sqlserver/ Intelligent applications: https://aka.ms/sqlai SQL AI Samples: https://aka.ms/sqlaisamples 📌 Let's connect: Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna Twitter - AzureSQL, https://aka.ms/azuresqltw 🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt

Published 2025-03-06 · Watch on YouTube ↗
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