LangGraph: Multi-Agent Workflows
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Top Comments (10)
Fantastic work as always. Thanks to the LangChain team.
Great video. Can you PLS create an example in langgraph on how to use an SQL database tool and call the tool with an agent. More importantly do a RAG search with it. That would be helpful
These videos never cease to impress me. Straight-forward and effective. Thank you, LangChain team!
That would be great if you add a disclaimer at the beginning of the video mentionning that it's for intermediate and advanced levels because beginners will feel lost and sometimes more confused just like me
Great video. One bit things I'm trying to figure out: how can the tools access the graph state? I mean custom tools. I really need them to have context of the conversation, user session metadata, etc, and I can't past them that info if the tools are called just with the parameters filled with syntetic data generated by the llm. I'm sure there is a way to do it but can't seem to fiture it out. Thanks!
I tried to implement multiagent using supervisor agent and running into issue where it couldn't parse function call. langchain_core.exceptions.OutputParserException: Could not parse function call: 'function_call
Excited to get my hands dirty with langgraph. Hopping on now!
Thank you! Very helpful. I did the first 2 exercises. I'll be back for the 3rd.
This is a super helpful series, a quick starter, easy to follow along with practical examples, thanks so many Harrison! Starting to experiment right away!
is there a way to control through the code of each agent how many call to chatgpt, for example, can be done? in order to control tokens consumption.
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Top Comments (10)
Fantastic work as always. Thanks to the LangChain team.
Great video. Can you PLS create an example in langgraph on how to use an SQL database tool and call the tool with an agent. More importantly do a RAG search with it. That would be helpful
These videos never cease to impress me. Straight-forward and effective. Thank you, LangChain team!
That would be great if you add a disclaimer at the beginning of the video mentionning that it's for intermediate and advanced levels because beginners will feel lost and sometimes more confused just like me
Great video. One bit things I'm trying to figure out: how can the tools access the graph state? I mean custom tools. I really need them to have context of the conversation, user session metadata, etc, and I can't past them that info if the tools are called just with the parameters filled with syntetic data generated by the llm. I'm sure there is a way to do it but can't seem to fiture it out. Thanks!
I tried to implement multiagent using supervisor agent and running into issue where it couldn't parse function call. langchain_core.exceptions.OutputParserException: Could not parse function call: 'function_call
Excited to get my hands dirty with langgraph. Hopping on now!
Thank you! Very helpful. I did the first 2 exercises. I'll be back for the 3rd.
This is a super helpful series, a quick starter, easy to follow along with practical examples, thanks so many Harrison! Starting to experiment right away!
is there a way to control through the code of each agent how many call to chatgpt, for example, can be done? in order to control tokens consumption.