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Tutorial
Securely Connect MongoDB to Cloud-Offered Kubernetes Clusters
A high-level guide on how to securely connect MongoDB Atlas with the Kubernetes offerings from Amazon AWS, Google Cloud (GCP), and Microsoft Azure.
Sep 09, 2024
Article
7 Things I Learned While Modeling Data for YouTube Stats
Discover 7 things Lauren learned while modeling data in MongoDB.
Sep 09, 2024
Quickstart
Java - Change Streams
In this quickstart, learn how to use Change Streams using the MongoDB Java driver, with five different examples to showcase certain features.
Sep 09, 2024
Tutorial
How to Archive Data to Cloud Object Storage with MongoDB Online Archive
Automatically tier your data across Atlas clusters and cloud object storage while retaining access to query it all with Atlas Data Federation.
Sep 09, 2024
Tutorial
Sending and Requesting Data from MongoDB in a Unity Game
Learn how to interact with MongoDB from a Unity game with C# and the UnityWebRequest class.
Sep 09, 2024
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.
Sep 09, 2024
News & Announcements
MongoDB's New Time Series Collections
Learn about MongoDB's time series collection type! This post teaches you what time series data looks like and how to configure collections to store your data.
Sep 09, 2024
Tutorial
Getting Started With the MongoDB Kotlin Driver
Learn how to build an application in Kotlin using MongoDB Atlas and the MongoDB Kotlin driver, the latest addition to our list of official drivers.
Sep 09, 2024
Tutorial
Real Time Data in a React JavaScript Front-End with Change Streams
In many applications nowadays, you want data to be displayed in real-time. Whether an IoT sensor reporting a value, a stock value that you want to track, or a chat application, you will want the data to automatically update your UI. This is possible using MongoDB Change Streams with the Realm Web SDK.
Sep 09, 2024
Video
Build a JavaScript AI Agent With LangGraph.js and MongoDB
✅ Written tutorial → https://mdb.link/article-qXDrWKVSx1w ✅ Create your free Atlas cluster → https://mdb.link/free-qXDrWKVSx1w ✅ Get help on our Community Forums → https://mdb.link/forums-qXDrWKVSx1w As a web developer, the idea of integrating AI into your applications might seem overwhelming. But don't worry—I've been there! In this tutorial, I'll walk you through building an AI agent using LangGraph.js and MongoDB, making it way simpler than it sounds. We'll cover the following: ⭐ Understanding what AI agents are and how they work. ⭐ Using LangGraph.js to create agents that can remember past conversations and use "tools" to gather more information. ⭐ Integrating MongoDB for storing conversation history and data retrieval, specifically leveraging MongoDB Atlas Vector Search for context-aware responses. By the end of this video, you'll have built an AI agent capable of managing HR-related queries, looking up employee info from a database, and continuing conversations across multiple sessions. It's like creating your own J.A.R.V.I.S., but for practical, real-world applications! What You'll Learn: ⭐ How to set up LangGraph.js for AI workflows. ⭐ How to integrate MongoDB Atlas to store and retrieve data. ⭐ How to build an AI agent that can manage conversations, look up data, and persist state across sessions. Prerequisites: ✔︎ Node.js and npm ✔︎ Free MongoDB Atlas account ✔︎ OpenAI and Anthropic API keys Clone the project repo and follow along as we create this powerful AI tool. Let’s get started! 🔗 Project Repo: https://github.com/mongodb-developer/LangGraph.js-MongoDB-Example ⏱️ Timestamps ⏱️ 00:00 - Intro 02:50 - Setting up the project 04:29 - Configure MongoDB 05:36 - Seeding the database 12:45 - MongoDB Atlas Vector Search Index 13:50 - Building the AI agent with LangGraph.js 22:47 - Creating the Express.js server 25:44 - Testing the AI agent Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
Sep 06, 2024