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Video
Atlas Data Federation with Azure Blob Storage
With MongoDB's Data Federation, you can combine all your data into one unified view, allowing you to easily search for the best French diner in your borough. This tutorial will walk you through the steps of combining your MongoDB database with your Azure Blob storage, utilizing MongoDB's Data Federation. - Are you ready to start building with Atlas on Azure? Get started for free today with MongoDB Atlas on Azure Marketplace: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/mongodb.mongodb_atlas_self_serve_prod_2022?ocid=mdb_devrel_datafed_blobstorage_fy25 Check out the written tutorial: https://mdb.link/khzxtWfiwMY-tutorial MongoDB Atlas: https://mdb.link/khzxtWfiwMY-register Get Microsoft Azure: https://azure.microsoft.com/en-us/free Download Node: https://nodejs.org/en/download Resources: Supported Aggregation Pipeline Stages and Operators: https://mdb.link/khzxtWfiwMY-resourceMar 19, 2024
Video
The MongoDB AI Chatbot Framework: From Skunkworks to Production
✅ Atlas Vector Search - https://mdb.link/RauBggA72Dw-atlas ✅ Blog Post - https://mdb.link/RauBggA72Dw-article - Join us in this fascinating episode as we sit down with Ben, a Senior Education Engineer at MongoDB, to unravel the captivating journey of developing an AI chatbot from the ground up. Beginning as a spark of innovation in an internal hackathon, this project has blossomed into a sophisticated chatbot leveraging the Chat GPT API, launched in September last year. Discover the intricacies behind MongoDB's foray into AI, the birth of the MongoDB Chatbot framework, and how it's paving the way for developers to craft their own AI-powered solutions. Ben and Michael also dive deep into the enhancements of MongoDB's documentation and the creation of a user-friendly interface that aims to elevate the developer experience. Tune in to gain insights into MongoDB's relentless pursuit of innovation and how it's shaping the future of developer tools and AI interactions.Mar 14, 2024
Tutorial
Demystifying Stored Procedures in MongoDB
Let's see how MongoDB’s aggregation pipeline, Atlas triggers, and change streams together can act as a super efficient, powerful, and flexible alternative to stored procedures.Feb 27, 2024
Sourabh Bagrecha
Video
The ULTIMATE MERN Stack Complete Guide (MongoDB, Express, React, Node.js)
✅ Sign-up for a free cluster at → https://mdb.link/free-4nKWREmCvsE" target="_blank" rel="noreferrer">https://mdb.link/free-4nKWREmCvsE ✅ Get help on our Community Forums → https://mdb.link/community-4nKWREmCvsE" target="_blank" rel="noreferrer">https://mdb.link/community-4nKWREmCvsE Dive deep into the world of MERN Stack development with our comprehensive tutorial. Learn how to build a full-stack application using MongoDB, Express, React.js, and Node.js. This guide is perfect for beginners and intermediate developers looking to sharpen their skills in modern web development. 🔗 Article for More Details: https://mdb.link/mern-4nKWREmCvsE 🧠 What You'll Learn 🧠 ✨ The basics of MERN Stack and its components. ✨ How to set up your project and connect to MongoDB Atlas. ✨ Building a React application and integrating it with your backend. ✨ Implementing React Router for seamless navigation. ✨ Best practices for connecting your frontend to your backend. 🛠️ Prerequisites 🛠️ ✅ Basic understanding of Node.js and React.js. ✅ MongoDB Atlas account (Sign up for free if you don't have one). 🚀 Get Started for Free with MongoDB Atlas: https://mdb.link/free-4nKWREmCvsE" target="_blank" rel="noreferrer">https://mdb.link/free-4nKWREmCvsE ⏱️ Timestamps ⏱️ 00:00 - Intro 00:15 - What is MERN? 01:05 - Setting up the project 03:25 - Connecting to MongoDB Atlas 06:06 - Server API Endpoints 10:56 - Run the server 11:33 - Setup up the front end with Vite 12:08 - Set up Tailwind CSS 13:22 - Set up react-router-dom 15:17 - Components: Navbar 15:59 - Component: Record List 18:43 - Component: Record 23:02 - Putting it all together: App.jsx 24:06 - Run the front end and test 📚 Download the Full Code 📚 Get the entire codebase from our GitHub repository to follow along and experiment with the MERN stack: https://github.com/mongodb-developer/mern-stack-example ⁉️ Questions? Join our community forum and ask away. We love to help: https://mdb.link/community-4nKWREmCvsE" target="_blank" rel="noreferrer">https://mdb.link/community-4nKWREmCvsE 💬 Connect with Jesse: Twitter: https://twitter.com/codestackr --- Subscribe to MongoDB YouTube→ https://mdb.link/subscribeFeb 13, 2024
Tutorial
How to Do Semantic Search in MongoDB Using Atlas Vector Search
Learn how to get started with Vector Search on MongoDB while leveraging the OpenAI.Jan 12, 2024
Benjamin Flast
Article
Entangled: A Story of Data Re-modeling and 10x Storage Reduction
Learn how to reduce your storage in MongoDB by optimizing your data model through various techniques.Dec 14, 2023
Nenad Milosavljevic
Tutorial
Building a Scalable Media Management Back End: Integrating Node.js, Azure Blob Storage, and MongoDB
Learn to create your own media management backend, storing your media files in Azure Blob Storage, and associated metadata in MongoDB.Dec 13, 2023
TK
Tim Kelly
Tutorial
Building AI Graphs with Rivet and MongoDB Atlas Vector Search to Power AI Applications
Join us in a journey through the convergence of database technology and AI in our article 'Building AI Graphs with Rivet and MongoDB Atlas Vector Search'. This guide offers a deep dive into the integration of Rivet AI's graph builder with MongoDB Atlas, showcasing how to visualize and manipulate data for AI applications. Whether you're a developer or a data scientist, this article provides valuable insights and practical steps for enhancing data-driven decision-making and creating dynamic, AI-powered solutions.Dec 13, 2023
Cai GoGwilt (+2)
Tutorial
Leveraging OpenAI and MongoDB Atlas for Improved Search Functionality
This article delves into the integration of search functionality in web apps using OpenAI's GPT-4 model and MongoDB's Atlas Vector search. By harnessing the capabilities of AI and database management, we illustrate how to create a request handler that fetches data based on user queries and applies additional filters, enhancing user experience.Dec 04, 2023
Pavel Duchovny
Article
Taking RAG to Production with the MongoDB Documentation AI Chatbot
Explore how MongoDB enhances developer support with its innovative AI chatbot, leveraging Retrieval Augmented Generation (RAG) technology. This article delves into the technical journey of creating an AI-driven documentation tool, discussing the RAG architecture, challenges, and solutions in implementing MongoDB Atlas for a more intuitive and efficient developer experience. Discover the future of RAG applications and MongoDB's pivotal role in this cutting-edge field.Dec 04, 2023
Ben Perlmutter