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Tutorial
Leveraging OpenAI and MongoDB Atlas for Improved Search Functionality
Sep 09, 2024 | 5 min read
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Tutorial
Zap, Tweet, and Repeat! How to Use Zapier with MongoDB
Learn how to create automated workflows with Zapier and MongoDB.Sep 09, 2024
Tutorial
Capturing Hacker News Mentions with Node.js and MongoDB
Learn how to stream data from Hacker News into MongoDB for analyzing with Node.js.Sep 09, 2024
Tutorial
Integrate MongoDB into Vercel Functions for the Serverless Experience
Learn how to build a Next.js application that leverages Vercel functions and MongoDB Atlas to create a serverless development experience.
Sep 09, 2024
Article
Listen Along at Scale Up With Atlas Application Services
Learn how Scale Up publishes the title of the song playing in the office regardless of the source with an old cell phone and MongoDB Atlas Application Services.
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
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/subscribeSep 06, 2024
Tutorial
Build a JavaScript AI Agent With LangGraph.js and MongoDB
Learn how to build a powerful AI agent using LangGraph.js and MongoDB. This step-by-step guide will show you how to create AI-driven applications capable of remembering conversations, accessing databases, and delivering smart responses. Perfect for JavaScript developers looking to integrate AI into their web apps.Sep 06, 2024
Tutorial
How to Develop a Web App With Netlify Serverless Functions and MongoDB
Learn how to build and deploy a web application that leverages MongoDB and Netlify Functions for a serverless experience.Aug 30, 2024
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 technology.Aug 29, 2024
