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Featured Shows

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Semantic Search Made Easy With LangChain and MongoDB

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Jan 09, 2024 | 7 min
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Vector Search: The Future of Data Querying Explained | Semantic Searching

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Sep 20, 2023 | 14 min
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Practice with PHP: Mastering PHP/Laravel with MongoDB Atlas

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Nov 01, 2023 | 63 min
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How AI is Changing the Future of Work

✅ Try MongoDB 8.0 → https://mdb.link/4KTJZHb4Inw ✅ Sign-up for a free cluster → https://mdb.link/4KTJZHb4Inw-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Annual surveys are dead—and waiting months for feedback is causing silent quitting and low retention. L10 collects daily feedback and delivers real-time engagement and performance insights with AI, so managers can act before problems escalate. Learn how AI is transforming workplace feedback into real impact.
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Mar 21, 2025
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Conversational AI in 2025: Why Latency Matters & How MongoDB Outperforms Postgres

Latency is critical for AI applications, especially conversational AI. See how MongoDB outperforms Postgres in handling concurrent queries and maintaining low latency as you scale. Learn why 2025 will be all about speed and performance for consumer-facing AI systems. Watch the full video to explore the dataset, queries, and notebook structure behind these insights! 🔥
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Mar 20, 2025
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How to Build an AI Agent with Semantic Kernel, MongoDB Atlas, C# and OpenAI

If you prefer to follow a written tutorial, it can be found here: https://mdb.link/lvQ-EC5afIA-tutorial Code Snippets: https://gist.github.com/LuceCarter/2efd3ae606da16aed1916ace5ef88595 Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Have you ever wanted to write an AI Agent with Semantic Kernel? Join Developer Advocate Luce Carter in this tutorial to create a food agent to help you decide if you can cook tonight or should just go to a restaurant! Watch Getting Started with Microsoft Semantic Kernel with MongoDB Atlas in C# → https://youtu.be/qXswaD4IGUU?si=FacxfJK8PBYmtt3y Microsoft Learn Course: https://learn.microsoft.com/en-gb/training/paths/develop-ai-agents-azure-open-ai-semantic-kernel-sdk/%7C Vector Search Index Documentation: https://mdb.link/lvQ-EC5afIA-doc Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
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Mar 19, 2025
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AI Workloads: MongoDB vs Postgres (PG Vector) – Which Database Wins for Ingestion & Retrieval? 🚀

truggling to choose the right database for AI workloads? In this short, we compare MongoDB and Postgres (with PG Vector) for ingestion and retrieval—two critical processes in AI and RAG pipelines. Find out which one suits your AI projects best! 🚀 #AI #MongoDB #Postgres #Database #TechTips #AIWorkloads #RAG #PGVector
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Mar 18, 2025
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Build a Symfony Web Application with MongoDB: A Step-by-Step Guide for PHP Developers

Try MongoDB 8.0 → https://mdb.link/X0RbNrR_444-8.0 Sign-up for a free cluster → https://mdb.link/X0RbNrR_444-try Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Join developer advocate Aasawari on the official MongoDB YouTube channel for a comprehensive guide on creating a Symfony-based application using MongoDB. This tutorial is divided into four detailed sections: - Introduction to PHP and Symfony - Setting up prerequisites and creating a Symfony skeleton project - Developing RESTful APIs - And testing them for functionality. Learn how the powerful MVC architecture of Symfony paired with the scalability of MongoDB can revolutionize modern web applications. Discover how to set up MongoDB Atlas, load sample data, and create and manage a rental booking system with REST APIs in PHP. Follow along with step-by-step instructions, code snippets, and tips for optimizing your Symfony application. Perfect for PHP developers looking to expand their skills with MongoDB database integration. Feel free to leave your comments or questions below, and make sure to like and subscribe for more tutorials! Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
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Mar 17, 2025
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Django MongoDB Backend Quickstart! A Step-by-Step Tutorial

Read the written version of this tutorial: https://dev.to/mongodb/django-mongodb-backend-quickstart-4o89 Django MongoDB Backend Repo: https://github.com/mongodb-labs/django-mongodb-backend Learn more in MongoDB Docs: https://mdb.link/laXann1O0cg-docs Let us know your thoughts in our MongoDB Developer Forum: https://mdb.link/laXann1O0cg-forum In this quick start get up and running with the new Django MongoDB Backend Python library: now in Public Preview! In this quick start you will create a Django application, connect your Django application to a MongoDB deployment, ensure your deployment is hosted on MongoDB Atlas, interact with the data stored inside your cluster, and create a Django admin page. Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
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Mar 10, 2025
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MongoDB User Groups (MUGs): February 2025 Updates #MongoDB #TheIndex #Tech

Here’s a recap of our latest MUGs, which we hold every month all across the globe. ➡️ View more in our Community Forums: https://mdb.link/mugs-feb2025 ⬅️ Be sure to give this video a thumbs up and subscribe to our channel, too! #MongoDB #TheIndex #Tech
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Mar 07, 2025
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MongoDB vs PostgreSQL for AI Workloads: Speed, Scalability & Developer Wins Exposed!

Check out our Generative AI Showcase Repository: https://github.com/mongodb-developer/GenAI-Showcase Which database are you using for AI? Comment below! 👇 Curious which database dominates AI workloads? We pit MongoDB against PostgreSQL (with PG Vector) in a head-to-head performance showdown for vector search, ingestion speed, and real-time retrieval. Discover why developers are switching for AI scalability! 🔍 What You’ll Learn: ✅ Benchmark Results: Ingestion speed, query latency, and throughput under scale (local machine tests with 100k+ vectors). ✅ Why MongoDB Shines: Out-of-the-box performance for JSON data, zero serialization overhead, and seamless scalability. ✅ PostgreSQL PG Vector Deep Dive: Configuration challenges and when it might still work. ✅ Developer Productivity: Avoid “Postgres Regress” and focus on building AI features faster. 📊 Key Takeaways: MongoDB handles 4x faster ingestion and 2x lower latency at scale. Postgres requires tuning (HNSW parameters, JSONB serialization) for AI workloads. Why latency matters for RAG, conversational AI, and real-time apps in 2024. ⏱ Timestamps: 00:00 - Intro: The AI Database Battle 02:15 - Benchmark Setup (Local Instances, 100k Vectors) 05:40 - Ingestion Speed Showdown: MongoDB vs PG Vector 12:30 - Retrieval Latency: Why Milliseconds Matter for AI 18:50 - Throughput: Queries/Second Under Load 25:00 - Developer Experience: MongoDB’s JSON Advantage 30:45 - When to Choose Postgres? Honest Takeaways 🔔 Subscribe for more AI tech deep dives → https://mdb.link/subscribe Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
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Mar 06, 2025
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Community Champions + Creators: February 2025 Updates #MongoDB #TheIndex #Tech

We’re sharing all the latest and greatest from our amazing Community Champions and Creators. ➡️ View more in our Community Forums: https://mdb.link/ccc-feb2025 ⬅️ Be sure to give this video a thumbs up and subscribe to our channel, too!
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Mar 04, 2025
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How to Migrate from Relational Databases to MongoDB | Relational Migrator 101

Learn more about Relational Migrator → https://mdb.link/Z6D5Ge4M2KU-try Try MongoDB 8.0 → https://mdb.link/Z6D5Ge4M2KU-mongodb8 Subscribe to MongoDB YouTube→ https://mdb.link/subscribe In this episode, join Ricardo Mello, Senior Developer Advocate at MongoDB, as he walks you through the process of migrating a relational database model from PostgreSQL to MongoDB using Relational Migrator. Discover how to modernize your application by transforming a traditional library management system into a flexible, document-based schema in MongoDB Atlas. We'll cover everything from downloading and setting up Relational Migrator, mapping your relational structure to MongoDB collections, generating code for your legacy applications, and finally migrating your data seamlessly. Learn how to leverage MongoDB's flexibility with embedded documents, extended references, and subset patterns to optimize your schema design. Whether you're a developer, database administrator, or just curious about MongoDB, this step-by-step tutorial will equip you with the tools and knowledge to migrate your relational workload to MongoDB with confidence. #MongoDB #DataMigration #NoSQL #RelationalMigrator Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developer
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Mar 03, 2025