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A lightweight, interpreted, object-oriented language. JavaScript engines execute JavaScript code in client-side (in web browsers) or server-side(for example, the V8 engine is a core component of the Node.js and Deno runtimes).- Latest
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How to Get Started With Bun & MongoDB
✅ MongoDB Atlas account → https://mdb.link/WsUOyPL1QnI-register ✅ Get help on our Community Forums → https://mdb.link/WsUOyPL1QnI-forums ✅ Written guide → https://mdb.link/WsUOyPL1QnI-guide" target="_blank" rel="noreferrer">https://mdb.link/WsUOyPL1QnI-guide - Learn how to use Bun, a high-performance JavaScript runtime, to build a simple CRUD API with MongoDB. This video walks you through setting up your environment, creating a basic web server, and connecting to a MongoDB database using Bun’s built-in features. Perfect for developers looking to explore alternatives to Node.js with modern tooling. For the complete written guide, including code snippets and detailed instructions, check out the full article here: https://mdb.link/WsUOyPL1QnI-guide" target="_blank" rel="noreferrer">https://mdb.link/WsUOyPL1QnI-guide 00:00 - Intro 01:13 - Bun Setup 02:03 - Application Structure 02:53 - Starting the application 03:59 - Connecting to MongoDB 05:54 - Building a movie TypeScript model 06:31 - Create a movies controller 07:53 - Server routing 09:44 - Connecting everything 15:18 - What's next?
Aug 14, 2024
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Building a RAG Pipeline in JavaScript with Memory
✅ Written article - https://mdb.link/ELt-lghAe0Q-blog - Unlock the full potential of your JavaScript RAG application with MongoDB and LangChain. Learn how to enhance AI systems with a conversational memory, improve response relevance and user interaction by integrating MongoDB's Atlas Vector Search and LangChain-MongoDB. Discover how to setup your environment, manage chat histories, and construct advanced RAG chains for smarter, context-aware applications. Perfect for developers looking to elevate AI projects with real-time, personalized user engagement.
Jun 25, 2024
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RAG in Real Life: How to Use the MongoDB Chatbot Open Source Framework
⭐ Register for the Quest: https://app.wilco.gg/company/MongoDBUniversity/mongodb_rag_ai/play ✅ Sign-up for a free cluster at → https://mdb.link/Y6xzauNaWlI-atlas ✅ Get help on our Community Forums → https://mdb.link/Y6xzauNaWlI-forums - In this live stream, we'll take a look at the open source chatbot framework built by MongoDB. We'll show you how to use it in a real-world application. And if you have any questions, we'll answer them live. - https://mongodb.prakticum-team.ru/developer/products/atlas/taking-rag-to-production-documentation-ai-chatbot/
Apr 01, 2024
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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!
Mar 27, 2024
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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://trymongodb.com/46MPRxL Download Node: https://nodejs.org/en/download Resources: Supported Aggregation Pipeline Stages and Operators: https://mdb.link/khzxtWfiwMY-resource
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.
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 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
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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
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 ** 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
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
Oct 04, 2023