Mastering Agentic Workflows with LangGraph

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This session on LangGraph is on building graph-based LLM workflows. We will explore agent architectures with memory and tools, implement reflexion loops for self-improvement, and build intelligent systems that combine retrieval and reasoning through agentic RAG. We'll also cover tracing and experiment tracking

Key Takeaways:

  • Building graph-based Agentic workflows using LangGraph
  • Creating intelligent agents with tools, memory, and decision logic
  • Implementing reflexion and error-handling loops
  • Developing a context-aware Agentic RAG
  • Tracking and tracing your experiments

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