Building an AI Receptionist with LangGraph

[@enesbesinci61]

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

[@ahmedkhan25]

thanks for a clear concise run thru!

[@ww_dot]

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

[@ahmedkhan25]

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

[@lukem121]

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_dot]

Thanks for the feedback - Nice idea

[@wesleymogaka]

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

[@wesleymogaka]

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_dot]

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

[@ajkdrag]

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_dot]

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

[@stanTrX]

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

[@ww_dot]

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