Resources

Atlas 201 eWorkshop (English)

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

Better Digital Banking Experiences through AI-Driven Interactions Powered by MongoDB

AMER timezone: 9:00am-10:00am PST | 11:00am-12:00pm CST | 12:00pm-1:00pm EST Not the right time zone? We are also running this on 12 Feb in EMEA and 5 March in APAC . Interactive banking is revolutionizing the financial services industry by leveraging AI-driven technologies to create more intuitive, personalized, and efficient customer interactions. Whether you're already implementing AI solutions or just beginning your journey, this webinar will guide you in enhancing your digital banking experience using MongoDB. Join us on February 26th at 9am PST / 12pm EDT as Luis Pazmino Diaz, Financial Services Industry Principal at MongoDB explores how MongoDB's capabilities can empower you to build future-proof applications and upgrade business applications with features shaping the industry. Gain valuable insights that will help you to: Enhance self-service banking: Discover how AI-driven advisors can streamline customer interactions, providing instant, context-aware solutions Understand how MongoDB's flexible data model works seamlessly with leading AI frameworks, allowing you to integrate and scale quickly and efficiently Leverage MongoDB Atlas Vector Search capabilities to enable the AI to find precise answers within dense documents, enhancing the self-service experience Build AI-powered apps with MongoDB to analyze customer trends, prevent fraud, and deliver smarter financial services like budgeting and conversational banking Don't miss your chance to dive deep into the future of digital banking and see how MongoDB can empower you to build next-gen solutions.

Atlas Search eWorkshop (English)

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

Building Agentic RAG Applications with MongoDB and LlamaIndex

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 for this webinar, where 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.

Better Digital Banking Experiences through AI-Driven Interactions Powered by MongoDB

APAC timezone: 9:00am IST | 11:30am SGT | 2:30pm AEDT | 4:30 NZDT Not the right time zone? We are also running this on 12 Feb in EMEA and 26 Feb in AMER . Interactive banking is revolutionizing the financial services industry by leveraging AI-driven technologies to create more intuitive, personalized, and efficient customer interactions. Whether you're already implementing AI solutions or just beginning your journey, this webinar will guide you in enhancing your digital banking experience using MongoDB. Join us on February 19th at 11:30am SGT as Wei You Pan, Financial Services Industry Principal at MongoDB explores how MongoDB's capabilities can empower you to build future-proof applications and upgrade business applications with features shaping the industry. Gain valuable insights that will help you to: Enhance self-service banking: Discover how AI-driven advisors can streamline customer interactions, providing instant, context-aware solutions Understand how MongoDB's flexible data model works seamlessly with leading AI frameworks, allowing you to integrate and scale quickly and efficiently Leverage MongoDB Atlas Vector Search capabilities to enable the AI to find precise answers within dense documents, enhancing the self-service experience Build AI-powered apps with MongoDB to analyze customer trends, prevent fraud, and deliver smarter financial services like budgeting and conversational banking Don't miss your chance to dive deep into the future of digital banking and see how MongoDB can empower you to build next-gen solutions.

Better Digital Banking Experiences through AI-Driven Interactions Powered by MongoDB

EMEA timezone: 10am GMT | 11am CET | 3:30pm IST Not the right time zone? We are also running this on 5 March in APAC . and 26 Feb in AMER . Interactive banking is revolutionizing the financial services industry by leveraging AI-driven technologies to create more intuitive, personalized, and efficient customer interactions. Whether you're already implementing AI solutions or just beginning your journey, this webinar will guide you in enhancing your digital banking experience using MongoDB. Join us on February 12th at 10am GMT as Luis Pazmino Diaz, Financial Services Industry Principal at MongoDB explores how MongoDB's capabilities can empower you to build future-proof applications and upgrade business applications with features shaping the industry. Gain valuable insights that will help you to: Enhance self-service banking: Discover how AI-driven advisors can streamline customer interactions, providing instant, context-aware solutions Understand how MongoDB's flexible data model works seamlessly with leading AI frameworks, allowing you to integrate and scale quickly and efficiently Leverage MongoDB Atlas Vector Search capabilities to enable the AI to find precise answers within dense documents, enhancing the self-service experience Build AI-powered apps with MongoDB to analyze customer trends, prevent fraud, and deliver smarter financial services like budgeting and conversational banking Don't miss your chance to dive deep into the future of digital banking and see how MongoDB can empower you to build next-gen solutions.

PostgreSQL 與 MongoDB：哪個更適合 GenAI？

Ask Me Anything: Mastering Data Modeling with MongoDB

During the webinar, our experts shared valuable insights on: Optimizing schema design for better application performance. Key differences between relational databases and MongoDB’s document model. Best practices for data modeling and real-world design patterns. A live data modeling design review and audience Q&A.

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

Reaping the Benefits of Hyper-Personalization with AI and Application Modernization

The AI revolution in financial services is here. Both traditional AI and generative AI offer a wide range of use cases for financial institutions — from enhanced fraud prevention to streamlined operations. However, one of the most significant opportunities lies in the impact these technologies can have on customer experience. In a time when customer expectations are higher than ever, AI technologies enable banks to provide tailored, hyper-personalized experiences to their customers. This improves customer satisfaction, extends the customer lifecycle, and increases overall revenue. Yet, achieving the front-office benefits of hyper-personalization isn’t possible without addressing the back office. How can financial institutions reduce their reliance on legacy systems to fully leverage the potential of AI? Application modernization is critical for becoming agile enough to deliver tailored customer experiences and adapt to an increasingly dynamic market. So, how can banks modernize effectively without disrupting operations? Watch this on-demand webinar, hosted by Finextra in collaboration with MongoDB and Microsoft, and hear from a panel of industry experts. They’ll discuss how financial institutions can deliver hyper-personalized services by leveraging AI and implementing smart application modernization strategies.

Atlas 101 eWorkshop (English)

Using MongoDB Atlas in GxP Systems

This white paper outlines how MongoDB Atlas can be used in GxP-regulated environments, particularly for healthcare and life sciences organizations that must comply with strict regulatory standards for data management and security best practices. Key aspects covered: Compliance with Good Practice (GxP) regulations and Title 21 CFR Part 11 Data integrity and security features of MongoDB Atlas Clear division of responsibilities between MongoDB and customers Specific use cases including clinical trials, electronic health records (EHRs), and pharmacovigilance Implementation guidelines for maintaining regulatory compliance Security features including encryption, access controls, and audit trails The white paper serves as a practical guide for organizations looking to leverage MongoDB Atlas while ensuring they meet all necessary regulatory requirements in regulated industries.