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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!
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Mar 27, 2024
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Atlas Data Federation with Azure Blob Storage

The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate 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://trymongodb.com/46MPRxL Download Node: https://nodejs.org/en/download Resources: Supported Aggregation Pipeline Stages and Operators: https://mdb.link/khzxtWfiwMY-resource
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Mar 19, 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.
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Mar 14, 2024
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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 The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate 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
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Feb 13, 2024
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Deep Dive into HNSW Architecture: Solving Problems with MongoDB Vector Search

✅ Sign-up for a free cluster at → https://mdb.link/free-vs-3 ✅ Get help on our Community Forums → https://mdb.link/community-vs-3 In this livestream, will be doing a deep dive on the Hierarchical Navigable Small World (HNSW) architecture. We will discuss what problems it aims to solve, how it is built, how it is queried, and different approaches to improve on it that are being explored. 📚 Resources 📚 ✅ Atlas Vector Search → https://mdb.link/vector-search-3 ✅ Code: https://github.com/hweller1/sample_atlas_vector_search_notebooks ✅ knnBeta Docs: https://mdb.link/knnbeta-vs-3 ------ ✅ Subscribe to our channel → https://mdb.link/subscribe #MongoDB #VectorSearch #AI
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Oct 11, 2023
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EASY: Build Generative AI Applications

✅ Sign-up for a free cluster at → https://mdb.link/free-wOdZ1hEWvjU ✅ Get help on our Community Forums → https://mdb.link/community-wOdZ1hEWvjU The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate ** Support for the '$vectorSearch' aggregation pipeline stage is available with MongoDB Atlas 6.0.11 and 7.0.2. ** 🔥 Unlock the Power of AI with MongoDB and Atlas Vector Search 🔥 Are you ready to step into the future with the 4th Industrial Revolution? Dive deep into the world of Artificial Intelligence and Large Language Models (LLMs) with this comprehensive guide. Learn how to leverage the power of LLMs and MongoDB's Atlas Vector Search to build transformative AI-powered applications. 🚀 👉 What You'll Learn: → The evolution of AI and its role in the 4th Industrial Revolution. → How generative AI is changing the game with ChatGPT. → The magic behind Large Language Models (LLMs). → How to use MongoDB and Atlas Vector Search for semantic search applications. → Hands-on example: Building a movie recommendation system using semantic search. 🎬 🛠 Technologies Used: → MongoDB → Atlas Vector Search → HuggingFace → Node.js 🔗 Resources 🔗 ✅ Written article with Python code snippets → https://mdb.link/article-wOdZ1hEWvjU ✅ Atlas Vector Search Docs → https://mdb.link/vector-search-docs-wOdZ1hEWvjU ⏱️ Timestamps ⏱️ 00:00 - Intro 01:42 - What are vector embeddings? 02:18 - What is vector search? 03:20 - What is Atlas Vector Search? 04:14 - Semantic search for movie recommendations 05:10 - Step 1: Setup & Connect to your MongoDB instance 07:39 - Step 2: Set up the embedding creation function 10:21 - Step 3: Create and store embeddings 13:09 - Step 4: Create a vector search index 14:20 - Step 5: Query your data ------ ✅ Subscribe to our channel → https://mdb.link/subscribe
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Oct 04, 2023
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RAG Architecture & MongoDB: The Future of Generative AI Apps

✅ Sign-up for a free cluster at → https://mdb.link/free-vs-2 ✅ Get help on our Community Forums → https://mdb.link/community-vs-2 In this livestream, we will delve into the latest advancements in Large Language Models (LLMs) and their multifaceted capabilities in generating code, images, and text. Discover the intricacies of building generative AI apps, leveraging RAG architecture, and how the MongoDB stack simplifies it. We will also explore the use of diverse modalities of data, navigate the choice of AI models for generating embeddings, various chunking strategies, and generating embeddings. 📚 Resources 📚 ✅ Article: https://mdb.link/article-pkUcSTMgETI ✅ Article: https://medium.com/llamaindex-blog/build-a-chatgpt-with-your-private-data-using-llamaindex-and-mongodb-b09850eb154c ✅ Atlas Vector Search → https://mdb.link/vector-search-2 ------ ✅ Subscribe to our channel → https://mdb.link/subscribe #MongoDB #VectorSearch #AI
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Oct 04, 2023
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Vector Search: The Future of Data Querying Explained | Semantic Searching

✅ Sign-up for a free cluster at → https://mdb.link/free-1ZIYVNvRVsY ✅ Get help on our Community Forums → https://mdb.link/community-1ZIYVNvRVsY ✅ Visit our AI Hub → https://mdb.link/ai-hub-1ZIYVNvRVsY The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate ** Support for the '$vectorSearch' aggregation pipeline stage is available with MongoDB Atlas 6.0.11 and 7.0.2. ** Welcome to this comprehensive guide on Vector Search, a revolutionary technique that allows you to search data based on meaning rather than just keywords. If you've ever struggled to find exactly what you're looking for in a database, this video is for you. We'll explore how Vector Search works, its benefits, and how to implement it in MongoDB for a seamless and powerful search experience. 🛠 What You'll Learn What is Vector Search?: Understand the machine learning models behind Vector Search and how they transform text, audio, images, or other types of data into high-dimensional vectors. Benefits of Vector Search: Discover why semantic understanding, scalability, and flexibility make Vector Search a must-have feature for modern databases. MongoDB & Vector Search: Learn how to set up Vector Search in MongoDB Atlas, create triggers with OpenAI API, and perform vector search queries. We'll walk you through each step, from setting up your MongoDB Atlas account to writing JavaScript functions for querying. 📚 Resources 📚 ✅ Written article & code → https://mdb.link/semantic-search-mongodb-atlas-vector-search-1ZIYVNvRVsY ✅ Vector Search Documentation→ https://mdb.link/vector-search-1ZIYVNvRVsY ✅ OpenAI → https://platform.openai.com/overview ✅ Create your first FREE MongoDB Atlas Cluster → https://youtu.be/jXgJyuBeb_o ------ ✅ Subscribe to our channel → https://mdb.link/subscribe
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Sep 20, 2023
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How to use Azure Functions with the MongoDB Node.js Drivers

✅ Sign-up for a free cluster at: https://mdb.link/free-DpGq9iu3Q8E ✅ Get help on our Community Forums: https://mdb.link/community-DpGq9iu3Q8E The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate 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: https://trymongodb.com/3FxsGdk Connect with Nic on Twitter: https://twitter.com/nraboy ⏱️ 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 — Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1 #mongodb #azure #nodejs #database
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Dec 15, 2022
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Build a Totally Serverless REST API with MongoDB Atlas

✅ Sign-up for a free cluster at: https://mdb.link/free-FkD_tf8vkfg ✅ Get help on our Community Forums: https://mdb.link/community-FkD_tf8vkfg Want to go totally serverless in your application development? I’m talking serverless database and serverless application for maximum scalability. In this tutorial, Nic Raboy demonstrates how to launch a serverless database instance of MongoDB, create a serverless function with JavaScript, and make everything accessible with HTTPS endpoints. Connect with Nic on Twitter: https://twitter.com/nraboy ⏱️ Timestamps ⏱️ 00:00:00 - Intro 00:00:43 - Create a MongoDB Serverless Instance 00:02:19 - Create a Serverless Application with Atlas App Services 00:03:36 - Create HTTPS Endpoints 00:06:38 - Adding Serverless Function Logic to an HTTPS Endpoint 00:10:29 - Testing your HTTPS Endpoint and Function 00:12:03 - More HTTPS Endpoints and Functions 00:15:27 - A Review of the Development Process 00:16:30 - A Quick Note on MongoDB Atlas Serverless Security 00:18:47 - Outro — Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1 #mongodb #database #serverless
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Nov 15, 2022