Introduction to LangGraph: A Quick Dive into Core Concepts

[@xratlas1]

Looking forward to deeper tutorials on this, it was a good one, excited about Lang graph agent workflow!

[@nullvoid12]

+1

[@paulntalo1425]

Thank you for sharing such information..🎉

[@raymobula]

Excellent. Concise! And no super hyped language.

[@shimotown]

Nice one! Waiting for the next one!

[@anthonybateman8470]

Great explanation and precise as per the German mindset :-) Fantastic. Thank you.

[@codingcrashcourses8533]

@@anthonybateman8470 thank you ;)

[@TomVanSchoor]

I can't remember if you mentioned it, but you can use your crewai crews as nodes in the langgraph ecosystem as well. That means you can create custom workflows between your trusted crews too.

[@codingcrashcourses8533]

Yes of course, you can pretty much use everything in a node. You can even use different agents build with different frameworks.

[@ChristopherFoster-McBride]

Excellent demo - only thing I would say is show at the beginning what the outcome/you are trying to build so you can see how it all ties together.

[@codingcrashcourses8533]

Thanks for the Feedback

[@oluwaseunakinropo6318]

God bless you Coding Crashcourses

[@solidkundi]

this is amazing.. I've been going through few langgraph tutorials. I think you really know how to dumb it down for me thanks

[@peyman6827]

well explained, Thank you so much

[@MarcoAerlic-wv7gz]

Very good tutorial. Thank you.

[@codingcrashcourses8533]

Thank you for your comment:)

[@Danishkhan-ni5qf]

This video is juiced with knowledge! Amazing content

[@meisherenow]

Nicely explained.

[@Lirim_K]

Fantastic LangGraph tutorial. Thank you. I'd love to see something more advanced like a chatbot that can give product recommendations using RAG search.

[@codingcrashcourses8533]

That´s something I will probably build as final project in my udemy course. It´s too big for youtube

[@arslanabid2245]

@@codingcrashcourses8533 please make soon! I am also waiting for a project like this.

[@Lirim_K]

@@codingcrashcourses8533 Let me know when this is complete, I'd gladly take that course.

[@codingcrashcourses8533]

@@Lirim_K yes i will make an annoucement video :)

[@-d3th-384]

Hey! Thank you for your short but impactful course. I have one question though to ask. Have you ever come across a situation where your agent was stuck in a continuous tool calling loop without exiting and thus providing a concrete final answer? I'm facing this problem right now and I do not know what to do.

[@codingcrashcourses8533]

Gonna demonstrate that in the next video:)

[@GeorgAubele]

Excellent tutorial. But what do you need the `from langchain_openai import ChatOpenAI` for in the first cycles example?

[@codingcrashcourses8533]

the package langchain-openai :)

[@GeorgAubele]

But you don't use the ChatOpenAI package on that example, do you? I mean - you define a model, but where is it used? The decision to stop the cycle comes from the the algorithm, does it? I don't see any AI model involved into that cycle example. Edit: Ah, ok, the decision on the cycle is made by the model!

[@techme1972]

Great video!! Thank you for taking the time! My confusion is…How would I create a multi agent graph where the initial agent asks the user a few questions to determine intent -> based on that it determines what agent to send the user to - this 2nd agent has its own LLM prompt logic -> when this 2nd agent requires feedback from the user … does it communicate with the user directly ? Or does the initial agent only communicate with the user That is where I’m really confused - any guidance would be great! Thank you again!!

[@codingcrashcourses8533]

It is actually totally up to you. When only the initial agent is talking to the user, you have a so called hierarchial agent. But you can allow every agent to interact with a user. That´s totally up to you. If you make a system with intent classificatio and route to different agents, I would probably let the agent directly talk to the agent, since the first agent is just the classifier and probably only should do that task

[@techme1972]

@@codingcrashcourses8533 Anyway I could talk to you more about it - of course I’d compensate you for your time Thank you!

[@GeorgAubele]

On your Github Site, there is a repository for an "Advanced RAG with Langchain" Course - I cannot find it on Udemy. Is it already live? When can I expect it online?

[@codingcrashcourses8533]

3 weeks and it will be finished

[@GeorgAubele]

@@codingcrashcourses8533 ❤️

[@SeeFoodDie]

Excellent. Thank you.

[@gw1284]

well explained, Thanks

[@SanthoshKammari-ug2gj]

Loved it!

[@Leonid.Shamis]

Great content! (as usual :)) Are you aware of any visual editors (like Flowise, Langflow, etc.) supporting the construction of LangGraph workflows in a drag-and-drop way? Wouldn't that be amazing?

[@codingcrashcourses8533]

No i was not yet. As far as I like These for Exploration, i would really like to have a yaml for a declarative approach or so :)

[@i2c_jason]

Thank you so much! Can anyone recommend a workflow for hosting my very simple LangGraph code on my website using the AWS toolsuite? I'd love to have some kind of scalable pay-for-compute that can just grow with my web traffic right from the start, rather than getting everything into a notebook and then having to figure out how to host it. I'm a firmware / Python guy and have no clue what I'm doing when it comes to hosting something like this for a very small business.

[@codingcrashcourses8533]

I would just use a small Server and host everything on my own

[@limjuroy7078]

Looks impressive and powerful, but I need some time to fully understand it. By the way, I'd like to share my thoughts - perhaps you could consider exploring the LLM OS from Phidata. Their agents are quite powerful, but they are not interconnected, which means you have to run different Python files to use specific tools. I'm not sure if LangGraph can solve this issue or not.

[@codingcrashcourses8533]

It takes it´s time and is more complex than the alternatives, but in my opinion worth learning it. LLM OS looks quite high level, whats the difference to let´s say CrewAI?

[@limjuroy7078]

@@codingcrashcourses8533 Looks like it's quite similar to CrewAI.

[@limjuroy7078]

@@codingcrashcourses8533 Yes, it does seem quite similar to CrewAI; however, CrewAI has the capability to manage all the tools without the need to run a specific Python file.

[@limjuroy7078]

Hmm, I have never tried CrewAI before, but Phidata does look quite high-level compared to the Lang graph.

[@chakerayachi8468]

thanks for your amazing content as usual but i have a question in my mind is it possible to take two answers from each node and combine them into the final answer for exemple i have a tools that generate image and an other tool that describe the image i want to get the image and the description as the final answer

[@codingcrashcourses8533]

You want to use gpt-vision to describe it?

[@chakerayachi8468]

@@codingcrashcourses8533 exactly

[@chakerayachi8468]

@@codingcrashcourses8533 yeah exactly so the idea is the generation of the image then the description of it but i need to get the two answers as the final output

[@luanmotta5591]

Nice video!!

[@maysammansor]

I follow your channel and even Udemy course but here please give the exact github code link. sometimes it's confusing to find the right git repo

[@codingcrashcourses8533]

sorry, that was an error! I updated the link in the description :-)

[@maysammansor]

@@codingcrashcourses8533 Thanks

[@maysammansor]

@@codingcrashcourses8533 Thanks

[@thegrandline24]

nice

[@vutuan-p3d]

finally, thank

[@StephenRayner]

LangGraph,.js plz

[@codingcrashcourses8533]

Maybe in the future :)

[@StephenRayner]

@@codingcrashcourses8533 are we there yet? LangChain channel release a video on generative UI hit the spot nicely. Did you see it?

[@abhishakeyadav1793]

first comment

[@codingcrashcourses8533]

great :p

[@say.xy_]

If you don’t reach 10k subs quickly after this video then langchain/AI community don’t deserve you ffs Their LOSS!

[@codingcrashcourses8533]

thank you man^^