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Prisma + MongoDB: The 8 Tips That Will Save You Hours | Build Better Applications
Sign-up for a free cluster → https://mdb.link/Dk7sfVYlnpQ-try Subscribe to MongoDB YouTube → https://mdb.link/subscribe Are you using Prisma ORM with MongoDB in your applications? In this video, I’m sharing the top 8 tips that will save you hours of debugging and improve your app’s performance. Whether you're new to Prisma or already building with MongoDB + Prisma, these tips will help you avoid common mistakes and level up your backend development. From configuring replica sets and managing ObjectId fields, to handling embedded documents and optimizing large collections—these are the pro-level Prisma + MongoDB techniques that you need to build production-ready applications. 00:00 - Intro 00:42 - Tip #1: Configure MongoDB with a Replica Set 01:31 - Tip #2: Handling ObjectId Fields in Prisma 02:09 - Tip #3: Null vs Missing Fields in MongoDB 02:57 - Tip #4: Defining Relations with Prisma ORM 03:35 - Tip #5: Modeling Embedded Documents with type 04:22 - Tip #6: Schema Management with prisma db push 04:51 - Tip #7: MongoDB + Prisma Design Considerations 05:36 - Tip #8: Performance Optimization for Large Collections 06:16 - Conclusion
Apr 07, 2025
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Hook up your AI agents to your database in minutes!!
🔎 Daemo.ai → https://daemo.ai ✅ Sign-up for a free cluster → https://mdb.link/xh7NmntP-K4 ✅ Subscribe to MongoDB YouTube → https://mdb.link/xh7NmntP-K4-sub - Join us for an engaging live stream featuring special guests from Daemo AI. Daemo AI is revolutionizing backend development by enabling developers to generate, deploy, and manage secure API endpoints and edge functions using natural language commands. By integrating seamlessly with MongoDB, Daemo AI allows for rapid creation of production-ready APIs, transforming ideas into deployable endpoints in minutes. In this session, we'll explore: How Daemo AI leverages MongoDB to streamline backend infrastructure. The process of transforming natural language descriptions into live API endpoints. Real-world applications and benefits of using Daemo AI in your development workflow. Whether you're a developer looking to accelerate your backend development process or interested in the intersection of AI and database management, this live stream will provide valuable insights into the future of backend development.
Mar 31, 2025
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AI Database Comparison: MongoDB vs PostgreSQL and Pgvector
Note: Questions can only be asked through the Zoom Webinar, sign up here → https://mdb.link/UNqeo6UFczY-zoom Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Join our webinar with Staff Developer Advocate Richmond Alake to explore MongoDB Atlas Vector Search vs. PostgreSQL with pgvector. We'll compare features, discuss key AI metrics for performance, and show you how to code in both systems. Don't miss it! To drill a little deeper, check out these resources: GenAI Showcase ( https://github.com/mongodb-developer/GenAI-Showcase ): Explore real-world examples of generative AI projects, and learn how to implement similar use cases. Building Your AI Stack ( https://mdb.link/UNqeo6UFczY-AIStack ): Get a clear overview of the essential components that power successful AI applications. Atlas Vector Search ( https://mdb.link/UNqeo6UFczY-vectorsearch ): Discover how MongoDB’s integrated vector search can support your AI workloads. 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 28, 2025
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Intro to Data Modeling
Note: Questions can only be asked through the Zoom Webinar, sign up here → https://mdb.link/Y9Gwh-NPx_Y-zoom Subscribe to MongoDB YouTube→ https://mdb.link/subscribe A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” In this webinar, we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Intro to Data Modeling Docs → https://mdb.link/Y9Gwh-NPx_Y-docs Data Modeling Explained → https://mdb.link/Y9Gwh-NPx_Y-datamodeling 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 28, 2025
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Building RAG Applications Using Multimodal Data
Note: Questions can only be asked through the Zoom Webinar, sign up here → https://mdb.link/2M0XLOedh8g-zoom Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Join MongoDB Senior AI Developer Advocate Apoorva Joshi in a webinar exploring advanced strategies for processing multimodal data within RAG pipelines. Learn how to navigate the complex landscape of mixed-modality content to create more comprehensive AI search capabilities. Get a head start by viewing this 22 minute Learning Byte → https://mdb.link/2M0XLOedh8g-byte 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 28, 2025
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Intro to MongoDB
Note: Questions can only be asked through the Zoom Webinar, sign up here → https://mdb.link/PcASSjjGQRM-zoom Senior Developer Advocate Jesse Hall will showcase the unique advantages of the document data model and show you how to deploy an Atlas cluster. Jesse will present a demo of how to get started with MongoDB Atlas and walk you through how to: - Create your first cluster, add an IP address and set up a database user - Load sample data using a Next.js e-commerce demo app - Connect to the database Intro to MongoDB Docs → https://mdb.link/PcASSjjGQRM-docs 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 28, 2025
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10X Your Development Speed: Prisma + MongoDB + Next.js Ultimate Stack
Sign-up for a free cluster → https://mdb.link/7t_cL2BQ5Ok-try" target="_blank" rel="noreferrer">https://mdb.link/7t_cL2BQ5Ok-try Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 🚀 Prisma + MongoDB Full-Stack Tutorial with Next.js 15 ✅ Build Modern, Type-Safe Web Apps Faster In this in-depth tutorial, Jesse Hall (aka codeSTACKr) shows how to build a full-stack Next.js 15 app using Prisma ORM and MongoDB. Learn how to boost your development speed, enforce type safety, and scale easily with Prisma Accelerate for serverless environments. Whether you're a seasoned dev or exploring type-safe MongoDB for the first time, this video covers everything you need—from schema modeling to caching strategies. 🔧 What You’ll Learn: - Why choose Prisma - How to connect Prisma to MongoDB Atlas - Modeling MongoDB data with full type safety - Building server actions and server components in Next.js App Router - Using Tailwind CSS + shadcn/ui for modern UI - Improving performance with Prisma Accelerate: connection pooling, edge caching, with TTL and SWR - Deploy-ready example: users, posts, comments—all working together 🧠 Tech Stack: Next.js 15 (App Router) Prisma ORM + Prisma Accelerate MongoDB Atlas Tailwind CSS + shadcn/ui TypeScript 🛠 Prerequisites: Node.js 20+ MongoDB Atlas account Prisma Data Platform account 🔗 Resources & Repo: 👉 Full source code & bonus homework: https://github.com/codeSTACKr/prisma-mongodb-demo 👉 Prisma Docs: https://www.prisma.io/docs/orm/overview/databases/mongodb 👉 MongoDB Atlas: https://mdb.link/7t_cL2BQ5Ok-try" target="_blank" rel="noreferrer">https://mdb.link/7t_cL2BQ5Ok-try 👉 Prisma Accelerate: https://www.prisma.io/accelerate ⏱️ Timestamps ⏱️ 00:00 - Intro 00:44 - The tech stack 02:07 - Agenda & prerequisites 02:36 - Prisma ORM + MongoDB project setup 04:18 - Data modeling with Prisma ORM 06:56 - Setting up a singleton Prisma Client 07:33 - Building API routes with serer actions 10:04 - Building the user interface with server components 13:51 - Expanding app functionality with posts and comments 17:04 - Integrating Prisma Accelerate 20:57 - Accelerate caching strategies 24:48 - Bonus!! This video is not affiliated with, endorsed by, or sponsored by Prisma. 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 Prisma or its affiliates. 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 28, 2025
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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
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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! 🔥
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
Mar 19, 2025