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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.
Aug 05, 2024 | 5 min read
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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
Video
AI Structured output and MongoDB Atlas services
✅ Sign-up for a free cluster → https://mdb.link/7sF3BRGKRUk-free ✅ Get help on our Community Forums → https://mdb.link/7sF3BRGKRUk-forums - In this live stream we will explore the new Structured Output features from OpenAI that allows a schema definition for AI responses. We will leverage Atlas triggers to use the structured output to automate various application tasks.Sep 05, 2024
Tutorial
A Beginner's Guide to Integrating MongoDB With TensorFlow Using JavaScript
Are you a JavaScript newbie or guru and curious to know how Tensorflow.js works with MongoDB as the database? This tutorial is for you. Follow along as we explain how to use MongoDB with Tensorflow.js.Sep 04, 2024
Tutorial
How to Build a Serverless REST API With MongoDB Atlas
Learn how to go totally serverless in both the database and application by using MongoDB Atlas serverless instances and the MongoDB Atlas App Services.
Aug 30, 2024
Tutorial
How to Deploy an Application in Kubernetes With the MongoDB Atlas Operator
Get started with application deployment into a Kubernetes cluster using the MongoDB Atlas Operator.
Aug 30, 2024
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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
