Getting Started with ReAct AI agents work using langchain

How to create AI ReAct agents using Langchain. In this video chris breaks down exactly how Reasoning and Action (ReAct) agents work both by using the out of the box agent framework in Langchain and by building up the agents from scratch. By doing this we can see exactly how this works, step by step.
At the end of this tutorial you'll understand how to use langchain, how ai agents work, how they use reasoning and actions, and how to build AI agents and custom tools for the agent. You will even be able to manually build your own agent
Github is here:
github.com/chrishayuk/how-rea...

[@joebarhouch2742]

Thank you for providing such a clear explanation!!! No BS, no following the tutorials given in the documentation blatantly, but actually carefully crafted tutorial with explanation of what's going on. Hats off!!

[@chrishayuk]

Thank you, glad it was useful. Thanks for calling out “carefully crafted”. Most of the time is spent figuring out the narrative. Very kind of you

[@simon_greig]

Awesome video Chris. Really clear and easy to follow. I also understand Langchain a lot more than I did 45 mins ago 🙂

[@chrishayuk]

Thanks Simon, appreciate it. It wasn’t really meant to teach langchain originally, but it’s kinda hard to talk about the ReAct pattern without covering the basics of langchain. Glad it was useful

[@maizizhamdo]

"Hey boss chris , I just wanted to say that your tutorial on creating an AI agent was super helpful and easy to follow! I'm not tech-savvy at all, but even I was able to understand the steps. Would you consider doing another tutorial using local OLLAMa models? That would be really cool and something I'd definitely want to learn more about. Thanks for sharing your knowledge with us!"

[@chrishayuk]

are you meaning as in finetuning your own model and getting it to run in ollama?

[@maizizhamdo]

@@chrishayuk using ollama with langchain in place of openai

[@chrishayuk]

@@maizizhamdo yes that's part of the video of the video on using opensource models that i've prepared but yet to record.

[@maizizhamdo]

@@chrishayuk "Ahaha, no worries! I'm glad you're planning on recording a video on using open-source models. Looking forward to seeing it when you're done recording! Thanks for the update"

[@stanTrX]

Very good, very clear 👍

[@chrishayuk]

Glad it was helpful!

[@ruslankhomenko2586]

the best video on the topic

[@chrishayuk]

very kind of you to say

[@matthewmolinar220]

Hey man! Super helpful. Do you have any thoughts on how this can be useful for agents that need to create code and ensure it works?

[@nikolatanev3293]

Thank you !!! A good video is when you have a take-away. Mine is the possibility to assign stop keywords, the only missing link on how actually React works in practice.

[@chrishayuk]

yeah, that's the actual trick

[@sumandawnmobile]

This is an amazing video Chris :) Thanks for the tutorial

[@chrishayuk]

thank you

[@IdPreferNot1]

Excellent explanation as you go along. Providing a github would perfect it, thx!

[@chrishayuk]

Examples are in GitHub.com/chrishayuk

[@chrishayuk]

And super glad it was useful

[@federicoottomano8619]

I guess it is pretty straightforward using another (eventually open source) LLM instead of GPT, like LlaMa, in your examples?

[@chrishayuk]

i have a follow up video in the pipe on this very thing, i'm hoping to record this weekend, i prepped it a few weeks ago, it's actually a pretty interesting topic

[@federicoottomano8619]

@@chrishayuk thanks Chris! Looking forward to it!

[@chrishayuk]

@@federicoottomano8619 and recorded

[@HistorIAsImposibles776AC]

Wooowowwwowo

[@chrishayuk]

lol