Resources

December 3, 2024

Comparing PostgreSQL vs. MongoDB: Which Is Better for AI Workloads?

11 A.M. HKT Online Transaction Processing (OLTP) systems traditionally focus on managing small, consistent data chunks, such as those found in banking, e-commerce, and other transactional environments. For decades, Relational Database Management Systems (RDBMS) like PostgreSQL have excelled in such scenarios. However, the rise of AI and machine learning applications has introduced new types of workloads that differ significantly from traditional OLTP requirements. These workloads require high throughput and the ability to manage and process vast amounts of data efficiently. This shift poses challenges for traditional RDBMS systems, which were not designed to handle the size, complexity, and variety of data typical of AI-driven environments. In our latest webinar, “Comparing PostgreSQL vs. MongoDB: Which Is Better for AI Workloads?,” we reveal results from our benchmark tests between these two different database systems. The webinar will be presented by MongoDB Senior Solution Architect, Steven Guo, who has decades of experience working with RDBMS, PostgreSQL, and document databases like MongoDB. Register now and find out why it’s essential to consider database platforms specifically designed to handle large, complex data structures to effectively support modern AI applications. The webinar will be conducted in Cantonese, and the deck presented will be in English.

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December 4, 2024

PostgreSQL 與 MongoDB：哪個更適合 GenAI？

日期：2024年12月4日 時間：11:00 am - 12:00 pm (HKT) 在這個資訊爆炸的時代，選擇合適的資料庫管理系統對於任何專案的成功至關重要。 PostgreSQL 和 MongoDB 作為兩種流行的資料庫解決方案，各自擁有獨特的優勢和應用場景。 本次網上研討會，我們將深入探討這兩種資料庫的核心技術、性能對比、適用場景以及最佳實踐。 立即報名參加我們的【PostgreSQL 與 MongoDB：哪個更適合 GenAI？】線上研討會，了解對這兩個不同資料庫系統進行基準測試的結果，探討為何必須考慮專門設計用於處理大型複雜數據結構的資料庫平台，從而更有效支援現代 AI 應用程式。 講師：張冠群 MongoDB解決方案架構團隊主管 此次線上研討會將以中文進行，輔以英文簡報展示.

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December 5, 2024

Build Agentic RAG Apps with MongoDB and LlamaIndex

12 P.M. ET Agentic RAG is the next evolution of retrieval-augmented generation (RAG) applications. They enable your AI-powered systems — fueled by personalized information based on user context and preferences — to provide more relevant, accurate answers for an enhanced user experience. Whether you're already building RAG applications or just getting started, this webinar will help you take the next step by adding agentic capabilities using MongoDB and LlamaIndex to your gen AI strategy. We’ll show you how to go from basic to agentic RAG applications, and as an added bonus, we’ll show you how to use hybrid search to optimize the application for relevance. Join us December 5, 2024 at 12 p.m. ET when Anaiya Raisinghani, Developer Advocate at MongoDB, and Laurie Voss, VP of Developer Relations at LlamaIndex, will explore the deep integration between MongoDB Atlas and LLamaIndex and provide valuable insights that will help you: Progress from basic to advanced retrieval. Optimize for relevance using hybrid search. Build Agentic RAG apps using MongoDB and LlamaIndex. Don't miss your chance to dive deep into the future of RAG applications and see how MongoDB and LlamaIndex can empower you to build next-gen solutions.

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December 19, 2024

Atlas 201 eWorkshop (English)

10 A.M. CET Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. This workshop is built on our Atlas 101 eWorkshop to continue the learnings. In this exclusive workshop you will get a full overview on how to migrate from a relational database to MongoDB followed by hands-on exercises and direct access to our expert panel. During this time, you will learn how to: Migrate from a relational databases to MongoDB How to build design patterns using MongoDB How to create aggregation pipelines How to use Atlas Vector Search and AI for context aware search Attendees will receive $50 in MongoDB Atlas credit.

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December 10, 2024

Atlas Search eWorkshop (English)

10 A.M. CET Join the MongoDB team on December 10th for a three hour workshop dedicated to AI applications to discover why MongoDB Atlas is the ideal platform to build modern semantic search apps, leveraging text search, vector search and large language models. During this workshop, you will be able to learn more about features of the MongoDB's Developer Data Platform, including a follow-along, hands-on project to implement an AI application. We will cover various functionalities of MongoDB, as well as useful LLM techniques. In particular: Leverage Atlas to build a semantic search using LLMs for pre-summarization and information extraction Learn how to get started developing your first semantic search app Atlas with a free cluster Use automatic client side encryption to store user secrets securely (we're going to access users Google Drive Docs!) Learn about the pre-summarization technique, an alternative to chunking techniques Store LLM interactions and keep track of model usage and costs using Atlas Charts Use langchain to compare costs & performance of various models, featuring open-source models, OpenAI, Anthropic, Cohere & Mistral. Implement access control for vector search Build a basic RAG pipeline to search across stored facts Attendees will receive $50 in MongoDB Atlas credit.

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November 28, 2024

Atlas 101 eWorkshop (English)

10 a.m. CET / 2:30pm IST Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. MongoDB Atlas ensures that when deploying a cluster in the cloud provider of your choice, the database will be run according to operational and security best practices. Join us in this exclusive workshop and get a full technical overview and demo of MongoDB Atlas followed by hands on exercises and direct access to our expert panel. During this time, you will learn how to: Create a database cluster using MongoDB Atlas Secure the database & Load sample data Create indexes and leverage them in your aggregation pipelines using Atlas Get started with MongoDB Charts and create visual representations of your data How to use Atlas Vector Search and AI for context aware search And so much more! Attendees will receive $50 in MongoDB Atlas credit.

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Power-Up Your Queries: MongoDB's Aggregation Framework

In this webinar, we'll show you how MongoDB's aggregation framework allows you to write simple, and then increasingly complex, queries and aggregations against your datasets, helping you group, join, limit, skip, and bucket across documents in your collections. We'll introduce some of the ideas around data modeling patterns and indexing that will help you get the most out of storing and querying your data in MongoDB, and you'll learn powerful tools for writing and testing your queries. If you're already working with MongoDB, and are familiar with the document model, CRUD and query operations, and you're looking to build more complex queries to aggregate and analyze data, then this is the perfect webinar for you. We’ll be exploring these topics through various languages. Pick the one that suits you best: Python: 11 A.M. ET on Wednesday, October 16, 2024 Java: 11 A.M. ET on Wednesday, November 20, 2024 JavaScript: 11 A.M. ET on Wednesday, January 22, 2025 C#/.NET: 11 A.M. ET on Wednesday, February 19, 2025 Don’t miss this opportunity to power-up your queries and get your questions answered. We look forward to seeing you there! Dates are subject to change

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Intro to Atlas Search

Atlas Search combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. Join us for our Intro to Atlas Search where we’ll show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities. Choose from any of the following dates: 11 A.M. ET on Wednesday, October 23, 2024 10 A.M. GMT on Thursday, November 7, 2024 11 A.M. ET on Wednesday, December 4, 2024 11 A.M. ET on Wednesday, January 29, 2025 11 A.M. ET on Wednesday, February 26, 2025 Don’t miss this opportunity to learn about Atlas Search and get your questions answered live. We look forward to seeing you there! Dates are subject to change

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Intro to Data Modeling

A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” Choose from any of the following dates: 11 A.M. ET on Wednesday, October 9, 2024 11 A.M. ET on Wednesday, November 13, 2024 11 A.M. ET on Wednesday, January 15, 2025 11 A.M. ET on Wednesday, February 12, 2025 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 Register today to save your spot. We look forward to seeing you there! Dates are subject to change

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Intro to MongoDB

Ready to begin your MongoDB Atlas adventures but not sure where to start? Join our Intro to MongoDB webinar to learn more! Choose from any of the following dates: 11 A.M. ET on Wednesday, October 2, 2024 11 A.M. ET on Wednesday, November 6, 2024 11 A.M. ET on Wednesday, December 11, 2024 11 A.M. ET on Wednesday, February 5, 2025 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 Register today to save your spot. We look forward to seeing you there! Dates are subject to change

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Building Gen AI-Enriched Apps with AWS & MongoDB Atlas

Join us for an exclusive webinar exploring the future of AI-driven applications. Learn how MongoDB, in collaboration with Amazon Web Services (AWS), empowers you to quickly and securely build gen AI-powered applications. And discover how to harness the full potential of gen AI by integrating MongoDB with Amazon SageMaker Canvas and Amazon Bedrock. You’ll learn from experts, and you’ll view practical demonstrations showcasing the integration of MongoDB Atlas and Amazon Bedrock. Here's what you'll Learn: How MongoDB's flexible data model enables agile development and iteration. How MongoDB Atlas Vector Search streamlines the machine learning workflow — from data preparation to deployment. How to harness the power of Amazon Bedrock to build scalable, enterprise-ready AI solutions. How other organizations are using MongoDB and AWS to create next-gen AI-powered applications. Join us across the globe at one of these times: May 21, 2024 at 10 A.M. GMT/3:30 P.M. IST: On-Demand May 22, 2024 at 12 P.M. ET: On-Demand June 5, 2024 at 9 A.M SGT / 11 A.M AEST: On-Demand Seize this opportunity to unlock the potential of gen AI with MongoDB and AWS. Register now to secure your spot and embark on a journey towards AI-driven innovation. Space is limited, so reserve your spot today!

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May 14, 2024

MongoDB Community Edition Masterclass

11AM (AEST) / 13.00 (NZST) Join us for a webinar tailored specifically for MongoDB Community Edition users, hosted by Mark Kirpichnikov, Solutions Architect at MongoDB. Discover AI tools, best practices, and optimisation techniques to maximise the performance and efficiency of your open-source MongoDB instance. In this webinar, we will: Share valuable insights for optimising your Community Edition deployment Provide actionable tips and techniques to fine-tune your MongoDB setup, improve query performance, and overall efficiency Explore how MongoDB Atlas simplifies database management Don’t miss this opportunity to hear from the experts and get your questions answered live. We look forward to seeing you there!

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