LangChain Agents: Simply Explained!

In this video, we’re going to have a closer look at LangChain Agents and understand what this concept is all about. We will dive into what an agent is, how agents work under the hood of LangChain, and what enables businesses to do. Finally, we will build a simple custom agent that interacts with the Shopify REST API.
Link to the code:
github.com/rabbitmetrics/lang...
Link to ReAct paper
arxiv.org/pdf/2210.03629.pdf
Link to Google Research blog post
ai.googleblog.com/2022/11/rea...
Link to the video detailing how to extract data from Shopify:
• How to Extract Any Sho...
▬▬▬▬▬▬ V I D E O C H A P T E R S & T I M E S T A M P S ▬▬▬▬▬▬
0:00 Introduction and overview
0:40 What is a LangChain Agent? An example use case.
2:50 LangChain Agents under the hood.
4:08 What can businesses do with LangChain Agents?
5:50 Building a simple Shopify Agent with LangChain

[@ALEJANDV1]

Thanks a lot, Rabbitmetrics! The video and the demo fulfill well their purpose of explaining LangCham Agents in a simple way!

[@kevon217]

Great, succinct and useful demo. Appreciate it!

[@TheFutureSKOOL]

Wow, this video provides a fascinating insight into Langchain agents and their capabilities! 🤖 I'm excited to learn more about how agents work under the hood of Link Chain and the endless possibilities they offer for businesses investing in technology, data, and analytics. Looking forward to diving deeper into building custom agents and unlocking their potential! 🚀🔍 #LangtuneAgents #AI #Innovation

[@badrinathsvn8634]

Dear Tutor, well explained the concept clearly. Thank you. Could you please create a play list with proper ordering of videos, so that we can learn Langchain step-by-step?

[@saikrishna-yk2lq]

An informative video. Is there any way to summarise transcripts using a custom method via agents?

[@jayhu6075]

What a inspiring Agent topic for me as a beginner. Maybe a question can you make a tutor with more then 1 agent that communicate with each other. Many thanks.

[@planplay5921]

Thank you for your video, I want to know if langgraph can replace crewai

[@aliissa4040]

Hello , Is the performance and speed of agents superior to that of chains?

[@khushpatel6296]

Hello Rabbit Metrics, I am asking here as this is your latest video, I have seen your videos regarding Langchain, I am curious how to optimize inference while using LLMs in Langchain using TensorRT or Onnx Runtime... As in Industries, It's very obvious, to save the time as well as computation cost... In TensorRT while using open source models, we have techniques like quantization and a few more more for that... So In Langchain is there any way to do this?

[@checkwhyke1837]

best

[@snackirl]

im early

[@dineshsadhwani3717]

Hey, Early. Nice to meet you

[@yeahliu5293]

to be frankly,there is no different from crud hard code😂i think we should dig more unique Scenario in business,or langchain is a nice vase

[@rolandheinze7182]

this function is too simple... how about you build pandas_dataframe_agent from scratch using this approach?

[@seannam1218]

Awesome tutorial! How did the agent know to pass the keyword "Customer" to the get_shopify_insight function without you explicitly telling it?

[@rabbitmetrics]

Thanks for watching! The agent infers what it needs to pass from the signature of the function get_shopify_insight

[@seannam1218]

oh I think I get it. The "->" in python function definition denotes adding annotations for the function. The shopify_objects are defined in this annotation in string format, and I guess this info is fed to the LLM as a prompt. Is that about right? Extremely cool!

[@FernandoJimenez-cd1ui]

@@seannam1218 the text you see immediately after the function declaration with the 3 " is a docstring, and you can access through the property ".__doc__" i guess in the langchain source code, it accesses that description this way. yourFunction.__doc__

[@real-ethan]

Great tutorial, I am wondering how can we pass the Shopify access token dynamically to tools if we are building a saas?

[@keanu81]

You might provide a Configuration Service that serves user/customer-specific configuration data to your provider services. Or provide the tokens in a (secured) user directory with custom attributes.