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Designing Agentic Systems with LangChain

Dilini K. Sumanapala, PhD

Founder & AI Engineer, Genverv, Ltd.

Essentials of LangChain agents

Head of chatbot

     

  • Created ReAct agents

  • Enhanced agents with tools

  • Enabled follow-up questions

  • Reasoning and LLMs

  • Natural language responses

Designing Agentic Systems with LangChain

Building chatbots with LangGraph

  Icon of tools, Wikipedia, LangGraph icon.

 

  • Integrate external APIs

    • eg. Wikipedia

  • Define

    • Graph and agent states
    • Nodes
    • Edges

  • Memory

  • Conversation

Designing Agentic Systems with LangChain

Building dynamic chatbots

A bot with multiple tools

Advanced features

  • Switching between tools
  • Dynamic LLM calls
  • Create multiple tools
  • Flexible workflows
  • Multiple tool memory
  • Multi-turn conversation
  • Large workloads, eg.
    • School curriculum
Designing Agentic Systems with LangChain

The LangChain ecosystem

      LangGraph and LangChain logos

 

  • AI workflows

    • Scalable

    • Flexible

       

  • Building foundational agents

  • Integrating tools

  • Advanced memory

Designing Agentic Systems with LangChain

The LangChain ecosystem

    LangSmith and LangGraph logos

 

Designing Agentic Systems with LangChain

Thank you!

Designing Agentic Systems with LangChain

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