Building an AI Receptionist with LangGraph

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  • Опубліковано 25 січ 2025

КОМЕНТАРІ • 18

  • @manueljan2117
    @manueljan2117 2 місяці тому +3

    Thanks, I appreciated your initiative. this is an example of the "human in the loop" graph, very useful. I would suggest you to insert the memory in the graph as well. [.compile(checkpointer=memory)]

  • @hastartara5015
    @hastartara5015 2 місяці тому +2

    Clear as crystal. Thanks 👍

  • @enesbesinci61
    @enesbesinci61 5 місяців тому +3

    thanks, it's a great video to start with LangGraph.

  • @lukem121
    @lukem121 5 місяців тому +3

    Very nice video! I would love to see a tutorial on a customer support ticket agent. For example the agent is able to answer questions from a knowledge base and use tools to check order status, etc.

    • @WW_AI_Adventures
      @WW_AI_Adventures  5 місяців тому

      Thanks for the feedback - Nice idea

    • @wesleymogaka
      @wesleymogaka 4 місяці тому +2

      You create an agent that uses RAG as a tool alongside other tools like ticketing

    • @juanantonionavarrojimenez2966
      @juanantonionavarrojimenez2966 3 місяці тому

      @@wesleymogaka And use functions to connect externals api.

  • @wesleymogaka
    @wesleymogaka 4 місяці тому +2

    Great tutorial, was looking for a way to join my agents/ tools and langgraph is a sure choice. Btw, with function calling now possible with most queries, you can actually write a prompt that will produce a json result witg tool name & parameter. This way you have full control over your agents and you dont have to depend of langchain @tool.

    • @WW_AI_Adventures
      @WW_AI_Adventures  4 місяці тому +1

      @@wesleymogaka ah good idea! So far I haven't had an issue with langchains abstraction, but will certainly keep this in mind

  • @ahmedkhan25
    @ahmedkhan25 4 місяці тому +1

    thanks for a clear concise run thru!

    • @WW_AI_Adventures
      @WW_AI_Adventures  4 місяці тому

      @@ahmedkhan25 thanks - do you prefer shorter content in general over longer more in depth content?

    • @ahmedkhan25
      @ahmedkhan25 4 місяці тому

      @@WW_AI_Adventures anything - actually anything exploring langgraph and agentic functionality is great

  • @DipakKawale
    @DipakKawale Місяць тому +1

    this one is really good

  • @ebukachuqz
    @ebukachuqz 2 місяці тому +1

    Good stuff, Thank you
    SUbscribed

  • @ajkdrag
    @ajkdrag 5 місяців тому +2

    Hi. Loved your explanation. Looking forward to more agentic ai based videos. Also, is there a way to have a 1:1 session with you?

    • @WW_AI_Adventures
      @WW_AI_Adventures  5 місяців тому

      @@ajkdrag Thanks, glad it helped! Anything in particular you'd like to see - Incorporating RAG, writing code, copywriting etc.
      Send me an email - whitew1994@gmail.com and we might be able to sort something out!

  • @stanTrX
    @stanTrX 4 місяці тому +1

    Hello. tested agentzero, autogen etc imo biggest problem with these are reliability. Hope to get better results using langgraph

    • @WW_AI_Adventures
      @WW_AI_Adventures  4 місяці тому +1

      @@stanTrX LangGraph can still be unreliable, but I think you have more controls to make it better, and more flexibility with the graph structure