Expanding LLM Applications: From RAG to Agentic Systems

In this comprehensive session, Staff Developer Advocate Richmond Alake explores the evolution of LLM applications, starting with RAG and progressing to developing sophisticated AI agents that leverage RAG as tools. Whether you're an experienced developer or just starting your journey in AI, this webinar offers valuable insights and practical skills to enhance your capabilities.

You’ll learn how to:

• Leverage your foundational knowledge of Retrieval Augmented Generation (RAG) architecture to develop cutting-edge Large Language Model (LLM) applications.
• Create tools for AI agents that retrieve knowledge from vector databases.
• Understand the core concepts of Agents and Agentic Systems with MongoDB as the Agent's memory provider.
• Gain hands-on experience implementing a simple agentic system using popular frameworks and tools.