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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the changing relationship between engineering teams and data teams, and how to stay up to date when skills go out of date so quickly.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
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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/developerblogJun 23, 2025
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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
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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/6416777344450560Jun 09, 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/developerblogJun 05, 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
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The future of data orchestration with Kenten Danas
✅ Try MongoDB 8.0 → https://mdb.link/sIEK32MvD3c ✅ Sign-up for a free cluster → https://mdb.link/sIEK32MvD3c-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Airflow is the open source standard for data orchestration, and in this episode Shane McAllister is joined by Kenten Danas from Astronomer for a deep dive into the newly introduced Airflow 3.0. We'll cover new themes and features like an improved user experience, stronger security, and greater flexibility for running tasks, as well as how users can leverage Airflow to integrate nearly any tool in their data ecosystem, including, of course, MongoDB! Whether you're just getting started with data orchestration or are already an expert, this episode will get you ready to take advantage of everything Airflow 3 has to offer.May 19, 2025
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How to Use the Official MongoDB MCP in Windsurf #MCP #mongodb #modelcontextprotocol
Let's install the official MongoDB MCP (Model Context Protocol) Server in Windsurf. We'll have it analyze our database, give us our schema, and even create brand new API routes all through natural language coding.May 01, 2025
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Cisco’s Approach to Developing and Governing AI Agents
✅ Try MongoDB 8.0 → https://mdb.link/gXhJ5cY47Yc ✅ Sign-up for a free cluster → https://mdb.link/gXhJ5cY47Yc-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - In this live stream we’ll explore how Cisco harnesses the power of MongoDB Atlas Vector Search to enable cutting-edge AI capabilities across various projects. We’ll dive into its pivotal role in solutions like Retrieval-Augmented Generation (RAG) and the Agentic Framework, demonstrating how it serves as the backbone for efficient and scalable data retrieval. Learn how MongoDB Atlas Vector Search empowers Cisco to bridge the gap between unstructured data and intelligent AI-driven insights, fueling innovation across various use cases.May 01, 2025