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How to Run MongoDB in Docker: A Complete Guide #developertutorial #databasetutorial
Stop struggling with complex database setups! This video makes getting a local MongoDB instance simple and fast with Docker. Follow along as we show you how to use a single Docker command to get a self-hosted MongoDB up and running for your development and testing needs. We'll cover setting up data persistence and securing your instance. For even easier management, we'll also explore how to leverage Docker Compose to streamline your workflow. Get ready to develop with ease!
Jul 30, 2025
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How to Use updateMany() in MongoDB to Modify Multiple Documents at Once #MongoDBTutorial #BulkUpdate
Tired of updating MongoDB documents one by one? Learn how to efficiently bulk update your data with maximum performance using the updateMany operator! In this video, Nick Raboy from MongoDB demonstrates how to use updateMany with filter criteria to update multiple documents at once. He'll walk you through an example of giving employees a salary raise based on their last raise date and explain the importance of using indexes for fast and efficient bulk updates. Discover how to ensure your updateMany operations are performing optimally by checking the explain plan. 👍 Like this video if you found it helpful and subscribe for more MongoDB tips! #MongoDB #Database #UpdateMany #BulkUpdate #Performance #Indexes #MongoDBTutorial
Jul 29, 2025
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How to Batch Download Content & Media from Your Database
✅ Try MongoDB 8.0 → https://mdb.link/_bg6bv0hZyY-try ✅ Sign-up for a free cluster → https://mdb.link/_bg6bv0hZyY-register ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe Ever needed to move your content out of a database and onto your local file system? In this practical, no-fluff tutorial, we walk you through a powerful Node.js script designed to export your content and all its media assets directly from MongoDB. Follow along as we build a script from scratch that reads a list of content, queries MongoDB using an aggregation pipeline, and then automatically downloads all associated images and media files, organizing everything neatly for you. This is a real-world example of how to use MongoDB and Node.js to solve a common content migration challenge, perfect for anyone managing a CMS or needing to batch-export data. Chapters: 00:00 Introduction & Use Case 00:52 Project Setup & Dependencies 03:37 Boilerplate Code Explained 06:10 Loading URL Slugs from File 08:59 Querying MongoDB with Aggregation Pipeline 13:33 Saving Markdown to Local File System 16:48 Saving Metadata to Local File 19:40 Extracting Asset URLs from Markdown 23:36 Downloading Assets with Axios 30:46 Final Thoughts & Conclusion This video is not affiliated with, endorsed by, or sponsored by Node.js. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of Node.js or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
Jul 07, 2025
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Navigating the Challenges of Building Centralized gen AI Tooling
The line between “super doable” and “super hard” isn’t always obvious when bringing AI to production. In the latest episode of our new People Who Ship series, Apoorva Joshi sits down with MongoDB’s John Ziegler to explore how his team built internal generative AI tools like Central RAG and MongoGPT and how they navigated challenges like permission-aware data, integrating diverse sources (think Google Drive and Zendesk!), and making it all work using MongoDB Atlas.
Jun 30, 2025
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How to Build an App with Semantic Search: Django, MongoDB Atlas & Voyage AI Tutorial
Read the written tutorial: https://dev.to/mongodb/grab-a-pint-with-django-mongodb-backend-voyage-ai-and-langchain-170n Watch the Django MongoDB Backend Quickstart tutorial: https://youtu.be/laXann1O0cg Sign-up for a free cluster → https://mdb.link/5s5ngllTB8E-register Access the Kaggle dataset here: https://www.kaggle.com/datasets/anaiya/guinnesswinebarsdublin Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Looking for the best places to grab a drink in Dublin? Stop searching and start building! With the power of the Django-MongoDB-Backend Python package and AI, you can find the exact drink you're looking for. Build your own intelligent Dublin pub finder! This tutorial shows you how to combine Django, MongoDB, Voyage AI, and LangChain to create an AI-powered app with semantic search. Learn to set up your backend, embed data, and implement smart search functionality to help anyone discover the perfect pub in Dublin. Dive into the exciting world where Python, databases, and AI converge! Chapters: 0:00 Introduction to the Dublin Pub Finder 0:28 What is Django MongoDB Backend? 1:07 Understanding LangChain & MongoDB Integration 1:58 Why Voyage AI for Embeddings? 2:30 Project Prerequisites 3:25 Demo: Our Intelligent Pub Finder in Action 4:18 Data Collection & Preparation (Google Places API) 5:39 Setting up Django MongoDB Backend 7:24 Defining Django Models (models.py) 8:55 Generating Embeddings with Voyage AI 10:19 Importing Data to MongoDB Atlas 11:46 Creating Your Atlas Vector Search Index 13:10 Integrating LangChain for Semantic Search 14:48 Building the Django Application (views.py & URLs) 16:00 Crafting the User Interface (HTML/CSS) 17:15 Running the Application 17:35 Conclusion & Key Takeaways This video is not affiliated with, endorsed by, or sponsored by Python. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of Python or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
Jun 23, 2025
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What is Parent Document Retrieval in RAG? | Retrieval Techniques in LLM Applications
What is parent document retrieval and why is it beneficial in the context of large language models (LLMs)? When splitting documents for LLM applications, there are often conflicting considerations. Parent document retrieval can be the solution.
Jun 18, 2025
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How to Bring Relational Data into MongoDB | Migration Challenges and Considerations #database
Wondering how to bring your relational data into MongoDB? This Short breaks down the migration process! From identifying modules to migrate to understanding modern schemas and transforming your application code, we cover it all. Plus, discover the Relational Migrator, a tool built to boost your migration productivity! #MongoDBTutorial #DataTransformation #NoSQLMigration #TechExplained
Jun 10, 2025
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The OpenAI Agents SDK for TypeScript is Missing Something—And That’s Ok
Try MongoDB 8.0 → https://mdb.link/s3X2N5AoVd8-try Sign-up for a free cluster → https://mdb.link/s3X2N5AoVd8-register 📚 Resources: OpenAI Agents SDK with MongoDB Template: https://github.com/mongodb-developer/GenAI-Showcase/tree/main/apps/openai-agents-sdk OpenAI Agents SDK Docs: https://openai.github.io/openai-agents-js/ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Learn how to build powerful AI agents using the new OpenAI Agents SDK for TypeScript with MongoDB as a memory provider. In this tutorial, I'll show you how to create context-aware agents that remember conversations and improve over time. Unlock the power of AI agents in TypeScript! Explore the new OpenAI Agents SDK for TypeScript, a powerful tool that brings robust AI capabilities directly to your JavaScript/TypeScript applications. Discover its core features like agent loops, handoffs, guardrails, and function tools. Learn about the crucial missing piece: memory persistence. We'll show you how to integrate MongoDB as a memory provider to give your AI agents conversational context, remember past interactions, recognize returning users, and even track performance. This enables you to build more intelligent applications, from customer support to personalized educational tools. 🔥 What You'll Learn: How to use the OpenAI Agents SDK for TypeScript Implementing MongoDB as a memory system for AI agents Building agents that maintain conversation context Creating personalized AI assistants that learn from interactions TypeScript-first development with strong typing support ⚡ Key Features Covered: Agent loops and conversation management Function tools with automatic schema generation Handoffs between multiple specialized agents Built-in tracing and debugging tools Real-time agent capabilities 💡 Perfect For: TypeScript/JavaScript developers AI application builders MongoDB developers Anyone building chatbots or AI assistants 🛠 Tech Stack: OpenAI Agents SDK for TypeScript MongoDB for conversation memory Node.js backend integration TypeScript for type safety 0:00 Introduction to OpenAI Agents SDK for TypeScript 0:54 Core Features of the SDK 2:06 The Missing Key Feature 2:40 MongoDB as a Memory Provider 3:02 Implementing Memory in Code 3:27 Why TypeScript Developers Will Love This 3:54 Real-World Agent Applications & Template This video is not affiliated with, endorsed by, or sponsored by OpenAI. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of OpenAI or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
Jun 05, 2025
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Unlock Scalability & Flexibility with MongoDB! #SQL #NoSQL
Tired of relational database headaches? Migrating to MongoDB offers a modern, flexible schema, and high availability so you can scale with ease. Discover how migrating to MongoDB solves complexity, boosts agility, and provides real scalability.
Jun 03, 2025
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How to Setup an MCP Server in Cursor #mongodb #mcp #cursor
Let's learn how to setup an MCP (Model Context Protocol) server in the Cursor IDE by installing the official MongoDB MCP Server. JSON Configuration: ``` "MongoDB": { "command": "npx", "args": [ "-y", "@mongodb-js/mongodb-mcp-server" ], "env": { "MDB_MCP_API_CLIENT_ID": "your-atlas-service-account-client-id", "MDB_MCP_API_CLIENT_SECRET": "your-atlas-service-account-client-secret", "MDB_MCP_CONNECTION_STRING": "your-mongodb-connection-string" } } ```
Jun 02, 2025