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Tutorial
Serverless Development with Kotlin, AWS Lambda, and MongoDB Atlas
Learn how to use Kotlin and MongoDB to create performant and scalable serverless functions on AWS Lambda.Jan 13, 2025
Tutorial
Understanding Embedded Types in MongoDB with Java and Helidon
MongoDB provides a flexible schema design, allowing data modeling patterns that differ significantly from traditional relational databases. With MongoDB, you model data specifically for your use cases rather than using a generic schema that attempts to cover all cases.Jan 09, 2025
Article
Atlas Search Playground: Easy Experimentation
Atlas Search adds powerful, relevant, full-text lexical search on top of your data.Jan 09, 2025
Video
What is retrieval-augmented generation (RAG)? #ai #mongodbbasics
Learn more about RAG on Developer Center: https://mdb.link/rag-guide" target="_blank" rel="noreferrer">https://mdb.link/rag-guide Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Learn what retrieval-augmented generation is, why it's important, and how it's related to LLMs. Learn more about RAG on Developer Center: https://mdb.link/rag-guide" target="_blank" rel="noreferrer">https://mdb.link/rag-guideJan 09, 2025
Video
PydanticAI and The Future of AI Agents
✅ Try MongoDB 8.0 → https://mdb.link/2HPQKIGwQV0 ✅ Sign-up for a free cluster → https://mdb.link/2HPQKIGwQV0-free ✅ GitHub repository → https://github.com/mongodb-developer/GenAI-Showcase/blob/main/notebooks/agents/ai_agent_with_pydanticai_and_mongodb.ipynb - Discover how to implement an AI Agent using one of the latest frameworks PydanticAI. In this session, we will explore how to leverage Pydantic AI to implement an AI Agent, with Agentic RAG capabilities and access to the internet to handle queries. We will also explore what the future of AI Agents and Agentic Systems looks like in 2025 and beyond.Jan 08, 2025
Tutorial
Building a Task Reminder With Laravel and MongoDB
Freshly created Laravel applications are configured to use relational databases. The purpose of this tutorial is to show how to use MongoDB in a Laravel application. We will build a simple task reminder system to achieve this.Jan 08, 2025
Article
Slowly Changing Dimensions and Their Application in MongoDB
This article describes how to implement the concept of “slowly changing dimensions” (SCD) in the MongoDB document model and how to efficiently query them.Jan 08, 2025
Video
How AI is Changing RevOps, a Story of MopsAI
✅ Try MongoDB 8.0 → https://mdb.link/p2YpbOrZy80 ✅ Sign-up for a free cluster → https://mdb.link/p2YpbOrZy80-register ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Based on MongoDB's own experience in leveraging AI to streamline RevOps processes, we believe that by integrating Atlas vector search into tools, developers can significantly enhance their workflows and drive innovation. By adopting AI skills and understanding the potential of large language models, developers can create more intelligent and efficient solutions for the future of marketing and sales. Join us as Shane McAllister talks to Fabio Falavinha, Senior Software Development Engineer at MongoDB, to learn more about how Atlas Vector Search can help.Jan 06, 2025
Tutorial
Encryption in Use: The Magic of MongoDB for Secure Queries
Protecting stored data is only a start. You need a solution that works during processing, allowing meaningful searches. Enter CSFLE and Queryable Encryption!Jan 06, 2025
SM
Video
Wrapping Up Local London: Key Takeaways and Future Insights from MongoDB
✅ Try MongoDB 8.0 → https://mdb.link/lPQh_9b00II-8.0 ✅ Sign-up for a free cluster → https://mdb.link/lPQh_9b00II-try - Join us as we conclude our exciting day at Local London! In this final segment, we reflect on the highlights of the event, including key announcements, insightful discussions, and the innovative features showcased throughout the day. Our hosts share their thoughts on the importance of developer productivity, the impact of AI on various industries, and the future of MongoDB's offerings. Whether you missed the event or want to recap the key moments, this episode is packed with valuable insights and a look ahead at what's next for MongoDB.Dec 27, 2024