Build sophisticated, enterprise-ready intelligent applications with MongoDB Atlas and Azure. Combine Azure’s robust infrastructure with Atlas, a developer data platform, to build applications at global scale that are highly available, flexible and performant.

Semantic Kernel Blog on Microsoft → <a href="https://mdb.link/SemanticKernel" target="_blank" rel="noreferrer">https://mdb.link/SemanticKernel</a>
Learn about Vector Search → <a href="https://mdb.link/MDBVectorSearch" target="_blank" rel="noreferrer">https://mdb.link/MDBVectorSearch</a>
Register for Atlas → <a href="https://mdb.link/CCAtlas20" target="_blank" rel="noreferrer">https://mdb.link/CCAtlas20</a>
MongoDB on Azure Marketplace → <a href="https://mdb.link/AzureMarketplace" target="_blank" rel="noreferrer">https://mdb.link/AzureMarketplace</a>

In this episode of Cloud Connect, we explore the integration of Microsoft Semantic Kernel with MongoDB Atlas, and teach you how to create your very own Retrieval-Augmented Generation (RAG) applications. Harness the power of MongoDB's vector search capabilities to utilize Large Language Models (LLMs) on your own data, with the streamlined development process provided by the Semantic Kernel SDK. Whether you're a developer, data scientist, or tech enthusiast, this livestream promises to enrich your toolkit with innovative strategies and insights into the future of AI-driven data solutions.

Resources:
✅ Sign-up for a free cluster at → <a href="https://trymongodb.com/3N2cTrN" target="_blank" rel="noreferrer">https://trymongodb.com/3N2cTrN</a>
✅ Get help on our Community Forums → <a href="https://trymongodb.com/3N7WPVj" target="_blank" rel="noreferrer">https://trymongodb.com/3N7WPVj</a>

Cloud Connect: Atlas Vector Search, Microsoft Semantic Kernel and AI applications

Join our livestream to explore the integration of Microsoft Semantic Kernel with MongoDB Atlas, and learn how to create your very own Retrieval-Augmented Generation (RAG) applications. Harness the power of MongoDB's vector search capabilities to utilize Large Language Models (LLMs) on your own data, with the streamlined development process provided by the Semantic Kernel SDK. Whether you're a developer, data scientist, or tech enthusiast, this session promises to enrich your toolkit with innovative strategies and insights into the future of AI-driven data solutions.

Learn about Vector Search - <a href="https://mdb.link/MDBVectorSearch" target="_blank" rel="noreferrer">https://mdb.link/MDBVectorSearch</a>
Register for Atlas - <a href="https://mdb.link/CCAtlas20" target="_blank" rel="noreferrer">https://mdb.link/CCAtlas20</a>
Semantic Kernel Blog on Microsoft - <a href="https://mdb.link/SemanticKernel" target="_blank" rel="noreferrer">https://mdb.link/SemanticKernel</a>

✅ Sign-up for a free cluster at: <a href="https://mdb.link/free-DpGq9iu3Q8E" target="_blank" rel="noreferrer">https://mdb.link/free-DpGq9iu3Q8E</a>
✅ Get help on our Community Forums: <a href="https://mdb.link/community-DpGq9iu3Q8E" target="_blank" rel="noreferrer">https://mdb.link/community-DpGq9iu3Q8E</a>

Learn how to setup and deploy serverless functions with Azure Functions that interact with MongoDB in this video tutorial featuring Nic Raboy. You'll see how to configure Microsoft Azure, build and test a local functions project, deploy to the cloud, and interact with MongoDB.

Resources: <a href="https://trymongodb.com/3FxsGdk" target="_blank" rel="noreferrer">https://trymongodb.com/3FxsGdk</a>

Connect with Nic on Twitter: <a href="https://twitter.com/nraboy" target="_blank" rel="noreferrer">https://twitter.com/nraboy</a>

⏱️ Timestamps ⏱️
00:00 - Intro
00:28 - The Prerequisites﻿
02:05 - Create New Azure Project﻿
06:20 - Create New Azure Function﻿
19:03 - Run and Test an Azure Function Locally﻿
20:07 - Link the Remote and Local Azure Projects﻿
22:24 - Creating Environment Variables in Azure﻿
24:45 - Push the Local Function to the Cloud﻿
26:51 - A Review of the Azure Functions with MongoDB Development Process

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Cloud Connect: Atlas Vector Search, Microsoft Semantic Kernel and AI applications

Cloud Connect: Atlas Vector Search, Microsoft Semantic Kernel and AI applications

How to use Azure Functions with the MongoDB Node.js Drivers