LangGraph: Create Business Intelligence tool using Multi Agent Supervisor : Part3

This video talks about how you can use Multi Agent Supervisor to retrieve data from Internet/RAG(Using Search or RAG Tool) and create visualization using Python Coder Agent.
Notebook: github.com/aritrasen87/LLM_RA...

[@fintech1378]

super amazing! please do a lot more

[@rajidhamon9241]

Hi, Well put explanations, Thank you. Could you also do a video on SQL Agent example with Langgraph?

[@AritraSen]

Hey glad that you liked it :) will try to come up with a video on this...

[@tvaddict6491]

This is such a great video. Thank you! I was finally able to get more clarity on langgraph. You went through all the relevant lines of code needed to understand this graph pattern. Much appreciated. I request you to also explain the multi agent hierarchical agent teams as well, like how you did for supervisor pattern in this video. Also, if you could explain how to send back the final output of this graph to a vanilla FASTApi server (not via langserve), where the user query was passed to an API end-point. Does it need to be a streaming output? Can this even be done with plain FASTApi server? This would be helpful as well.

[@AritraSen]

Thanks for the feedback!! I will try to look into the request definitely in near future.

[@CyrineBerrabah]

hello thank u for the video! but you can integrate human in the loop on this graph structure to make a conversation

[@AritraSen]

Yeah you can do that... Add a conditional edge whereever you want a user/human input... And decide the router edges based on user input.

[@jhachirag7]

If I want to achieve the same thing with anthropic claude
I have created my own parser, but when passing messages for supervisor prompt there is list of human messages and gives error conversation should be between user and assistant

[@AritraSen]

Hey sorry I have not used Claude models and don't have the access also... Sorry won't be able to help on this..