Learn LangGraph - The Easy Way

This tutorial offers a step-by-step guide to building agent applications using LangGraph, a library offered by LangChain. Starting with an overview of LangGraph and its benefits, the tutorial first explores how to make a simple graph and create nodes. It goes on to explain how to create functions and run within nodes. It also covers importing LangChain tools, binding them to the model, how to parse information from nodes, and setting up a state graph. Finally, the tutorial covers adding a conditional edge to the graph and demonstrates running the graph using user inputs.

00:00 Introduction to LangGraph
00:31 Understanding the Basics of Graphs
01:46 Exploring the LangChain Notebook
02:19 Building a Simple Graph with LangChain
04:27 Creating a Graph with LLM Call
04:56 Integrating OpenAI with LangChain
07:40 Building a More Complex Graph
19:09 Understanding Conditional Edges in LangGraph
28:11 Conclusion and Final Thoughts

[franciscoaraujo]

Excellent! The most didactic class on YouTube! Thank you. ❤

[mr.daniish]

One of the best explanations on lang graph. Period.

[Arkantosi]

Hands down the best LangGraph tutorial I've seen. I'd love to see a video where you break down how to create a customer service chatbot that can do generic replies based on internal policy documents (RAG) as well as use different tools to fetch customer information.

[stanTrX]

Thanks. Finally someone explains one by one.. 👍

[samuelmathias]

this is by far the simplest tutorial i have seen for langgraph

[JoergSky]

Excellent explanations! Breaking it down to the simple cases in the beginning really helped me to grasp the concepts behind LangGraph!

[Aripb]

Misbah, this is a wonderful introduction to LangGraph. I feel I found a gold mine in your channel among the noisy YouTube space of LangChain tutorials. Thank you very much!

[goldenpiece]

LangGraph teams examples are pretty advanced for a beginner like me, your approach of using simple functions without llms explained things a lot simpler. Huge respect for that!

[KunaalNaik]

Best introductory video on LangGraph! Thank you!

[alexp.]

EXCELLENT Tutorial. Perfect for grasping the concept. Thank you very much for putting the work into it!

[wryltxw]

This is best introduction to langgraph so far. Thanks!

[TheAstralftw]

I know some langchain. I wanted to learn langgraph. This is best fucking video. Simple yet great. People should donate at least few $, when we see useful video like this.

[Leonid.Shamis]

Thank you for a very informative video - I really liked how the concepts are developed on top of each other and explained from simple to more complex!
I have a question about ToolInvocation:
19:35 - A SINGLE tool is bound to the model
21:50 - Passing the arguments to ToolInvocation:
- What if there was more than one tool bound to the model?
- Does LLM make the right tool selection?
- How do we ensure that the right tool is invoked?

[moglimogify]

Very clear and easy to understand. I liked how you started you explain each feature as you went alot. It really helped. thank you

[jdallain]

Really great stuff! Best breakdown of langgraph on YouTube I’ve seen

[italoaguiar]

the best langgrpah introduction tutorial ever! the Langgraph staff should replace their messy getting started with this clean one :)

[MadhanAnbalagan-ffqt]

Excellent work. When every other video used the documentation to explain, your ground up approach is what made me to understand the concepts. Pls continue the same style for your other videos as well

[HomunMage]

This is the best LangGraph tutorial.
Thank you for sharing.

[supercurioTube]

Thanks for this good introduction to LangGraph, it's very approachable from the beginning.
10 minutes in and I'm getting nauseous from zooming in and out though (watching on my TV, stated at a reasonable distance)

[rafaelg]

great video, congrats.
will be nice to see 'ai sql agents' consulting muti-tables to respond an questions.