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MongoDB Community Creator Series: Otavio Santana
✅ Sign-up for a free cluster → https://mdb.link/OmXJKCKm0M0-register ✅ Get help on our Community Forums → https://mdb.link/OmXJKCKm0M0-forums - This episode of the MongoDB Podcast features Otavio Santana, known for his extensive work with Java and MongoDB. We dive into the technicalities and strategic insights of using MongoDB alongside Java in software development. Otavio discusses the potential of AI to reshape programming, the significance of multi-vendor strategies for API development, and his approach to data persistence in Java applications. Listeners will also gain perspective on Otavio’s contributions to open-source consulting and his thoughts on the evolving landscape of software development. Whether you’re deeply embedded in the tech world or simply interested in the intersection of MongoDB and Java, this conversation offers valuable insights into the challenges and opportunities that lie ahead. Join us as we explore the dynamic relationship between these technologies and what it means for the future of development on the MongoDB Podcast.
Mar 27, 2024
Video
Learn The Basics of AI and RAG - A Quest to Building Your First AI Chatbot
⭐ Register for the Quest: https://app.wilco.gg/company/MongoDBUniversity/mongodb_rag_ai/play ⭐ Get Started on Your Chatbot: https://mongodb.github.io/chatbot/quick-start/ ⭐ Blog post - https://mdb.link/M9GvsHze2F8-blog - Welcome to the dawn of a new era in AI chatbot development! Let's kickstart the "RAG to Riches" quest with an exclusive live session. Dive deep into the world of MongoDB and discover why it's the cornerstone for building efficient, intelligent chatbots using Node.js. What to Expect: Introduction to AI and how MongoDB is a pivotal component of your AI tech stack. Why MongoDB & Node.js?: Learn about the synergy between MongoDB and Node.js and how it can revolutionize your AI projects. Overcoming Development Hurdles: Tackle common pain points in AI chatbot development with real-time solutions. Live Q&A: Get your questions answered. Dive into the specifics of AI chatbots and MongoDB's role in simplifying the process. Why This Matters: The AI landscape is booming, and Node.js stands at the forefront of this revolution, thanks to its event-driven architecture perfectly suited for chatbot interactions. With MongoDB, starting your AI chatbot project becomes a breeze, empowering you to create more interactive and intelligent applications. Who Should Join? Whether you're a seasoned developer or just curious about AI chatbot development, this session is for you! Don't miss out on this opportunity to expand your skills and explore new horizons with MongoDB and AI chatbots. Set your reminders, bring your curiosity, and prepare to embark on a journey from "RAG to Riches" with us. See you there!
Mar 27, 2024
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Python Chat with Anaiya Raisinghani
Anaiya Raisinghani is a Developer Advocate at MongoDB, and she's been building some awesome things with Python and a cool serverless platform called Neurelo. We're going to have a wide-ranging chat about what she knows and loves about MongoDB and the kinds of things she likes to build. There's going to be some demos and Python code walkthroughs. It's going to be a whole load of fun. - Check out Anaiya's articles on Neurelo: Neurelo and MongoDB: Getting Started and Fun Extras - https://mdb.link/vtEtu9-v5ZM-getting-started Building a Restaurant Locator Using Atlas, Neurelo, and AWS Lambda - https://mdb.link/vtEtu9-v5ZM-neurelo-AWS
Mar 15, 2024
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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
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How to Use the MEAN Stack: Build a Web Application From Scratch
✅ Sign-up for a free cluster at → https://mdb.link/free-GcYxQ0A7tVM ✅ Get help on our Community Forums → https://mdb.link/community-GcYxQ0A7tVM" target="_blank" rel="noreferrer">https://mdb.link/community-GcYxQ0A7tVM 🚀 Dive into full-stack development with our comprehensive MEAN Stack tutorial. This video guides you through building a robust Employee Management System using MongoDB, Express.js, Angular, and Node.js. Whether you're a beginner looking to get started in full-stack development or an experienced developer seeking to master the MEAN stack, this tutorial is for you! 🔗 Article for More Details: https://mdb.link/mean-GcYxQ0A7tVM 🧠 What You'll Learn 🧠 ✨ Introduction to MEAN Stack and its components ✨ Setting up your development environment ✨ Creating a server-side application with Node.js and Express ✨ Building a RESTful API ✨ Developing a client-side application using Angular ✨ Connecting your application to MongoDB Atlas for data storage ⏱️ Timestamps ⏱️ 00:00 - Introduction 00:16 - What is MEAN? 01:07 - Prerequisites 01:55 - Server: Setup 03:37 - Server: Interface 04:18 - Server: Connect to MongoDB 06:12 - Server: Environment Variables 06:42 - Server: server.ts 07:53 - Server: RESTful API build 12:48 - Server: Configure Routes 13:32 - Client: Angular app setup 16:09 - Client: Create Angular Interface 16:45 - Client: Create Angular Service 20:05 - Client: Create Employee List Component 24:11 - Client: Define Routes 25:36 - Client: Create Form Component 29:33 - Client: Create Add-Employee Component 31:14 - Client: Create Edit-Employee Component 33:30 - Client: Update Routes 34:03 - Test the Application! 📚 Download the Full Code 📚 Get the entire codebase from our GitHub repository to follow along and experiment with the MEAN stack: https://github.com/mongodb-developer/mean-stack-example ⁉️ Questions? Join our community forum and ask away. We love to help: https://mdb.link/community-GcYxQ0A7tVM" target="_blank" rel="noreferrer">https://mdb.link/community-GcYxQ0A7tVM 💬 Connect with Jesse: Twitter: https://twitter.com/codestackr --- Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
Mar 13, 2024
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/subscribe
Feb 13, 2024
Video
Semantic Search Made Easy With LangChain and MongoDB
"✅ Sign-up for a free cluster at → https://www.mongodb.com/cloud/atlas/register ✅ Get help on our Community Forums → https://www.mongodb.com/community/forums/ ✅ https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-tutorial" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-tutorial ✅ https://trymongodb.com/3H7kO3L" target="_blank" rel="noreferrer">https://trymongodb.com/3H7kO3L ✅ https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI ✅ https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-community ✅ https://twitter.com/codestackr" target="_blank" rel="noreferrer">https://twitter.com/codestackr ✅ https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe The video is a tutorial on how to enable semantic search on user-specific data using Lang chain and MongoDB Atlas. The process involves loading, transforming, embedding, and storing data before it can be queried. The tutorial uses the AT&T Wikipedia page as a data source and demonstrates how to use libraries from Lang chain to load, transform, embed, and store vectors. The video also explains how to retrieve and query relevant data using Vector search. 📚 RESOURCES 📚 https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-tutorial" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-tutorial https://trymongodb.com/3H7kO3L" target="_blank" rel="noreferrer">https://trymongodb.com/3H7kO3L https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI https://mdb.link/ZvwUzcMvKiI" target="_blank" rel="noreferrer">https://mdb.link/ZvwUzcMvKiI-community https://twitter.com/codestackr" target="_blank" rel="noreferrer">https://twitter.com/codestackr https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe ⏱️ Timestamps ⏱️ Introduction to Semantic Search [00:00:00 - 00:02:35] The video begins with an explanation of the multi-step process of enabling semantic search on user-specific data. This process includes loading, transforming, embedding, and storing data before it can be queried. The speaker mentions the team at Lang chain, whose goal is to simplify this process. The tutorial will walk through each of these steps using MongoDB Atlas as the vector store and the AT&T Wikipedia page as the data source. Setting Up the Environment [00:02:36 - 00:05:11] In this chapter, the speaker guides the viewer through the process of setting up the environment. This includes creating a free MongoDB Atlas account, obtaining an OpenAI API key, and cloning a repository with all the necessary code. The speaker also explains how to add the OpenAI API key and MongoDB connection string to the project, create a new Python environment, and install all the required dependencies. Vectorizing and Querying Data [00:05:12 - 00:07:47] The final chapter focuses on vectorizing and querying data. The speaker demonstrates how to load, transform, embed, and store data using the AT&T Wikipedia page as the data source. The process of creating vector representations of data using an LLM is explained, as well as how to store these vectors in a MongoDB database. The speaker then shows how to query this data using vector search, and how to set up a vector search index on the vector embeddings field. The video concludes with a demonstration of a CLI-based query and the results of a semantic search. ------ ✅ Subscribe to our channel → https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe" target="_blank" rel="noreferrer">https://mdb.link/subscribe"
Jan 09, 2024
Video
Getting Started with the new MongoDB Provider for EF Core
Written tutorial → https://mdb.link/ghJUEhbnCFE-languages At .local London in October 2023, we announced the availability, in preview, of the new MongoDB Providers for EF Core. This has been a popular request in the community. In this video, we will take you through creating an ASP.NET MVC app with CRUD and change tracking using the new provider, all for free using MongoDB Atlas. 📚 RESOURCES 📚 GitHub Repo → https://trymongodb.com/48gKLJp Getting your connection string → https://mdb.link/ghJUEhbnCFE-connectionstring MongoDB Provider Announcement → https://mdb.link/ghJUEhbnCFE-entityframework ✅ Sign-up for a free cluster at → https://mdb.link/ghJUEhbnCFE-free ✅ Get help on our Community Forums → https://mdb.link/ghJUEhbnCFE-community 💬 Connect with Luce: Twitter: https://twitter.com/lucecarter1 ⏱️ Timestamps ⏱️ 00:00 - Intro 00:30 - Prerequisites 01:15 - Create the project 02:23 - Add the driver 03:21 - Add the models 06:25 - Setup EF Core 11:18 - Create the services 21:26 - Add the view models 24:47 - Create the controllers 32:39 - Create the views 43:14 - Test the application 47:00 - Outro Subscribe to our channel → https://mdb.link/subscribe #mongodb #dotnet #csharp #efcore
Dec 15, 2023
Video
Sync your iOS SwiftUI App with MongoDB Atlas using Atlas Device Sync | Part 1
✅ Sign-up for a free cluster at → https://mdb.link/free-wFEO_tfjRHs ✅ Get help on our Community Forums → https://mdb.link/community-wFEO_tfjRHs Learn how to build an iOS app using SwiftUI and the Atlas Device SDK (formerly Realm) for local persistence. You can find the code and step by step instructions in the online Lab: https://mdb.link/swiftui-atlas-sdk Subscribe to MongoDB YouTube → https://mdb.link/subscribe
Nov 08, 2023
Video
Adventures in IoT EP1: Project Intro
Resources → https://mdb.link/iot00001 In the first episode of this series, Jorge introduces the project that we will be developing. It will be a series of sensors that gather noise data that will be collected by a bespoke implementation of a collecting station. We will explore two mechanisms for the communication between the sensors and the collecting station: BLE and MQTT over WiFi. Once the data is in the collecting station, we will send it to a MongoDB Atlas cluster on the Cloud using the C++ driver and we will finish the project by showing some potential usages of the data in the Cloud. Jorge also presents a list of requirements for the development boards and some alternatives that match those requirements and you can use for this or similar projects. ✅ Sign-up for a free cluster at → https://mdb.link/free-FW8n8IcEwTM ✅ Get help on our Community Forums → https://mdb.link/community-FW8n8IcEwTM Adventures in IoT playlist → https://trymongodb.com/3R38iGX Subscribe to MongoDB YouTube → https://mdb.link/subscribe
Nov 07, 2023