Search
Attendance Type
Event Type
Language
Technology
Content Type
Products
Expertise Level
Contributed By
Example Type
- Latest
- Highest Rated
All Content
Video
Experience the Beanie ODM: Build Robust Data Models in Python
✅ Try MongoDB 8.0 → https://mdb.link/5XhDQQcWQm4 ✅ Sign-up for a free cluster → https://mdb.link/5XhDQQcWQm4-try - Episode description: Join oman Right, the creator of the Beanie ODM, and Shubham Ranjan, Product Manager at MongoDB, as they discuss all things Beanie and Python! In this episode, we will explore how Beanie uses Pythons async capabilities to simplify MongoDB data modeling and querying. Roman and Shubham will walk through defining schemas, executing advanced queries and aggregations, and integrating Beanie into various Python frameworks. We'll wrap up with a LIVE Q&A, so come get your questions answered from the experts. - ✅ Beanie GitHub → https://github.com/BeanieODM/beanie ✅ Beanie Docs → https://beanie-odm.dev/ ✅ Build a Cocktail API with Beanie and MongoDB → https://mdb.link/5XhDQQcWQm4-read - oman Right LinkedIn: https://www.linkedin.com/in/roman-right/ Shubham Ranjan LinkedIn: https://www.linkedin.com/in/shran/
Jul 29, 2025
Video
Modern AIOps - What does it take to build reliable AI products
✅ Try MongoDB 8.0 → https://mdb.link/8dnmsD9UvcY ✅ Sign-up for a free cluster → https://mdb.link/8dnmsD9UvcY-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - In this Podcast, Shane McAllister is joined by Karthik Kalyanaraman Cofounder & CTO of Langtrace AI to discuss how engineering teams building reliable AI products are doing things differently from the rest. We will also deep dive into what the modern AIOps stack looks like for high performing AI engineering teams. Do join us!
Jul 22, 2025
Video
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
Video
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
Video
Keeping Up With The Vibe Coders
✅ Try MongoDB 8.0 → https://mdb.link/25Sg1o0vcGY ✅ Sign-up for a free cluster → https://mdb.link/25Sg1o0vcGY-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - In a world where AI can write your code (at least some of the time) software development and data careers need rethinking. How you work and how you learn are changing. Do you vibe code everything and hope for the best? Spend your evenings and weekends poring over the latest tools and frameworks? Watch this stream for better answers! In this session, Richie Cotton, a Senior Data Evangelist at DataCamp, chats to Shane McAllister about modern developer workflows, the changing relationship between engineering teams and data teams, and how to stay up to date when skills go out of date so quickly. - Richie helps individuals and organizations get better at using data and AI. He's been a data scientist since before it was called data science, and has written two books and created many DataCamp courses on the subject. He is a host of the DataFramed podcast, and runs DataCamp's webinar program.
Jun 23, 2025
Video
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
Video
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
Video
Getting AI to Production: A Practical Guide
✅ Try MongoDB 8.0 → https://mdb.link/YClVonWKPEc ✅ Sign-up for a free cluster → https://mdb.link/YClVonWKPEc-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - In this episode, Yaron Haviv the CTO of Iguazio (a McKinsey company) and book author shares insights from his work with many large businesses on their challenges for operationalizing and scaling AI projects, with practical advices and critical insights. We explore new inovvations in the space including GenAI and LLMs, the pivotal role of the data layer, including seamless integration with platforms like MongoDB, to build a solid foundation. Tune in to learn the essential strategies for navigating production scaling considerations and taking your AI initiatives from prototype to enterprise reality.
Jun 16, 2025
Video
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
Video
Database Permissions 101: From Fine-Grained Policies to RAG Security
✅ Try MongoDB 8.0 → https://mdb.link/BmJ3nLj_1mc ✅ Sign-up for a free cluster → https://mdb.link/BmJ3nLj_1mc-try - Join us for a practical session on database permissions, why they matter, how to set them up right, and what to watch out for. We’ll discuss real-world examples, from simple read/write rules to handling filtering, performance, and multi-tenant setups. - ✅ https://www.permit.io/blog/implement-multi-tenancy-rbac-in-mongodb ✅ https://www.permit.io/blog/why-data-filtering-matters-for-database-authorization - Bio: Gabriel is an engineering executive with extensive experience in security and developer platforms. Over the years, I have worked as a technical leader and principal engineer at large corporations such as Cisco and Palo Alto Networks, and a few startups. For the last couple of years, Gabriel has mainly focused on fine-grained authorization. As the VP of developer relations at Permit.io, he advocates for and creates content around security and permissions, guiding engineers in this journey. In the spare time, Gabriel is an avid writer, kitchen enthusiast, and adventurous traveler. - Linkedin: https://www.linkedin.com/in/gemanor/ Twitter: https://twitter.com/gemanor 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/6416777344450560
Jun 09, 2025