Modern AI Applications with MongoDB: From Data to Intelligence

The jump from an AI prototype to a production-ready application requires more than just a model connection. It requires a data strategy that handles the complexity of the real world.

To build applications that are truly intelligent, you need a platform that manages vector embeddings, handles multimodal data types, and scales horizontally as your agentic workflows grow. We’ve designed this three-part technical series to take you through that exact evolution.

Join MongoDB solution architects for a hands-on look at the architectural shifts defining the next generation of software. We’re moving beyond the basics to show you how to ground your large language models (LLMs) in context and empower them to take autonomous action.

The Curriculum

Part 1: Intro to Vector Search
January 16, 11:30am SGT
Stop relying on rigid keyword matching. We explore the fundamentals of vector search, explaining how embeddings represent unstructured data and how to implement semantic search within MongoDB Atlas to create more intuitive user experiences.

Part 2: Building RAG Applications Using Multimodal Data
January 27, 11:30am SGT
Intelligence is only as good as the context it’s given. Learn how to build retrieval-augmented generation (RAG) pipelines that leverage text, images, and video. We’ll demonstrate how to ground your models in real-time data to reduce hallucinations and improve accuracy.

Part 3: From RAG to Agentic Systems
February 5 , 11:30am SGT
The frontier of AI is agentic. We explore how to move from passive retrieval to autonomous systems. See how to build agents that use RAG to inform their decisions, orchestrate complex tasks, and execute business logic independently using MongoDB’s scalable infrastructure.

What You’ll Learn

• Architectural Mastery: Understand the transition from traditional search to vector-based semantic retrieval.
  
• Multimodal Integration: Learn to manage and query diverse data types to provide richer context for your LLMs.
  
• Agentic Orchestration: See live builds of autonomous systems that perform tasks and make decisions.
  
• Production Scaling: Discover how to use MongoDB’s flexible schema and horizontal scaling to support complex AI workflows.

Register once to gain access to all session recordings, technical resources, and sample code.