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On-Demand Webinar

Modern AI Applications with MongoDB: From RAG to Agentic Systems

Expanding LLM Applications: From RAG to Agentic Systems

The true frontier of AI isn’t just retrieval; it’s agentic. We’re moving away from passive systems that wait for a prompt and toward autonomous agents that can orchestrate complex tasks and execute business logic independently. 

This session takes you through that exact evolution, showing you how to build systems that use RAG to inform their decisions and take action within your environment. You will see how MongoDB’s scalable infrastructure provides the foundation for these agents to operate reliably as they move from simple prototypes to production-ready autonomous systems.

Key Takeaways

  • The technical shift from passive retrieval-augmented generation to active, autonomous agentic orchestration.

  • Live builds of systems that perform multi-step tasks and make independent logic-based decisions.

  • How to use MongoDB’s horizontal scaling to support the high-concurrency demands of agentic workflows.

  • Best practices for grounding autonomous agents in specific business rules and real-time context.

This on-demand session is essential for architects and engineers looking to innovate at the edge of AI-driven experiences. You’ll get access to the recorded presentation along with technical resources and sample code to help you begin your own agentic builds. Watch now and learn how to empower your models to take meaningful action.

Continue learning:

  1. Building RAG Applications using Multimodal Data
  2. Intro to Vector Search

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