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Video
Master Parent Document Retrieval with MongoDB & LangChain for Smarter RAG apps | Live Code Guide
Written version → https://mdb.link/v5V3W-NNSQw-written Sign-up for a free cluster → https://mdb.link/v5V3W-NNSQw-try Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 💡 Struggling with chunk sizes in RAG apps? Learn how MongoDB’s Parent Document Retrieval balances precision and context—no PhD required! Join this deep dive to: Solve the “chunking paradox” with small embeddings + large context retrieval 🧩 Live-code async ingestion for 40K+ documents (with batch processing hacks!) ⚡ Build a RAG pipeline and AI agent using LangChain & Atlas Vector Search 🤖 FREE GitHub repo included—steal the code for docs chatbots, legal research, or customer support! ⏱️ TIMESTAMPS: 00:00 - What is Parent Document Retrieval? (Spoiler: It’s a game-changer!) 02:35 - MongoDB + LangChain setup: Chunking strategies & metadata tips 10:06 - Async processing: Ingest 25K docs WITHOUT crashing your system 15:04 - Vector search indexes: Optimize for speed & accuracy 20:12 - AI Agent demo: Answer complex questions with context expansion 25:56 - Pro tips: Avoid “tool loops” in agents & access our Generative AI Cookbook 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
Mar 27, 2025
Video
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.
Mar 21, 2025
Tutorial
Searching on Your Location with Atlas Search and Geospatial Operators
Learn how to compound Atlas Search operators and do autocomplete searches with geospatial criteria.
Mar 21, 2025
Video
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! 🔥
Mar 20, 2025
Video
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
Mar 19, 2025
Video
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
Mar 18, 2025
Video
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
Mar 17, 2025
Tutorial
How to Deploy Vector Search, Atlas Search, and Search Nodes With the Atlas Kubernetes Operator
Learn how to deploy MongoDB Atlas Vector Search, Atlas Search, and Search Nodes using the Atlas Kubernetes Operator. This tutorial covers step-by-step instructions to integrate advanced search capabilities into Kubernetes clusters, enabling scalable, high-performance workloads with MongoDB Atlas.
Mar 14, 2025
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Tutorial
Serverless MEAN Stack Applications with Cloud Run and MongoDB Atlas
In this blog, we'll see how Cloud Run and MongoDB come together to enable a completely serverless MEAN stack application development experience.
Mar 14, 2025
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Tutorial
Sentiment Chef Agent App with Google Cloud and MongoDB Atlas
In the competitive customer service industry, extracting meaningful insights from customer reviews is challenging. Our team developed Sentiment Chef, an intelligent restaurant agent that goes beyond basic review analysis by leveraging Google Cloud and MongoDB Atlas. This smart platform interprets sentiments from text, images, and videos, providing comprehensive feedback summaries. Designed specifically for the restaurant industry, Sentiment Chef transforms multimodal review data into actionable insights, helping restaurant owners make informed decisions based on customer feedback.
Mar 14, 2025
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