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Build a JavaScript AI Agent With LangGraph.js and MongoDB
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We'll cover the following:
⭐ Understanding what AI agents are and how they work.
⭐ 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 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:
✔︎ 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!
⏱️ 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
25:44 - Testing the AI agent
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