Krish Naik

1,470,000 subscribers

⏱ 👁 70,501 views

Tutorial 3- Live Build Agentic AI Chatbot Using LangGraph

Video Overview & Insights

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Join our 2.0 Live Agentic AI With MCP Batch starting from May 10th 2025

Course Enrollment Link: https://www.krishnaik.in/liveclass/2.0%20Live%20Agentic%20AI%20And%20Generative%20AI%20Application%20With%20Cloud%20Bootcamp

Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.

— @krishnaik06

LangGraph, created by LangChain, is an open source AI agent framework designed to build, deploy and manage complex generative AI agent workflows. It provides a set of tools and libraries that enable users to create, run and optimize large language models (LLMs) in a scalable and efficient manner.

Join our 2.0 Live Agentic AI and Generative With Cloud Bootcamp.

“

Krish bhaiya, your sessions are "the best."

— @MachineLearningatLuleåUniv-r9p

Enrollment Link: https://www.krishnaik.in/liveclass/2.0%20Live%20Agentic%20AI%20And%20Generative%20AI%20Application%20With%20Cloud%20Bootcamp

This course is designed for AI developers, machine learning engineers, data scientists, and software engineers looking to build expertise in agentic AI, multi-agent systems, and AI-powered automation. Whether you are new to AI agents or have experience in NLP and GenAI, this course will equip you with the knowledge and hands-on skills required to develop, deploy, and manage AI agents at scale. By the end of the course, you will have a strong foundation in agentic AI frameworks, multi-agent collaboration, real-world automation, and end-to-end AI deployment, along with practical experience through real-world projects.

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Is there any Repolink for the code?

— @sudhanshudhanda1203

Mentors: Sourangshu Paul, Mayank Aggarwal , Krish And Sunny

Start Date:May 10th 2025

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thank you,looking for this kind of sessions further

— @Nil-yt-i3p

Timing: 8am to 11am IST(Saturday And Sunday)

Duration : 4-5 months

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Sir, you are a very talented educator. Love your content!

— @sirius_black-z7u

Prerequisites:

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just one thing I need to understand Krish , the tools you are using like Arxiv , Tavily , Wikipedia , I am not able to find the official docs for them on langchain , how you are able to use those functions , can someone help me with offcial docs where the tools functions and parameters are written?

— @IshanBahuguna1

1. Coding Knowledge of Python

2. Basics of NLP and Deep Learning

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You rocked...Good Explanation

— @thirupathisalveru5411

3. Basic Knowledge Og Generative AI

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Content and delivery👌👌Superb Sir. Learning alot from your videos.

— @DhakadFamilyVlogs

Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.

“

Why the title is "agentic AI" ?
we are just doing ai agent here.

— @iitgupta2010

More User Perspectives

Sir, thank for such a nice session.👌

@SantoshItkare

bhai kathakali wala was amazing 😀

@vininitdgp

@ywwsimmigrationandeducatio9130

This is hands down one of the best AI Engineering tutorials I've come across! The way you break down complex concepts into simple, practical steps is truly impressive. Your teaching style makes it so much easier to understand tools like LangChain, LLMs, and real-world AI workflows. Thanks for consistently delivering high-quality content you're helping so many of us level up.

@arcreationtech

Yes

@sarikavishwakarma7558

Groq API key generation not working for me any one can help?

@danishjamal422

at 45:45 can anyone tell me where the HumanMessage is defined? I am not sure if I have missed it or not.
messages = graph.invoke({"messages":HumanMessage(content = "1706.03762")})
I am getting this error NameError: name 'HumanMessage' is not defined

@user-o5q9n

57:50 for anyone wondering where is the AI generated response after the tool calls, actually above the "**Note:**" you can see three vertical dots in the cell output, which indicates that the output displayed there is truncated. You can click on "more actions" (the button UI is 3 horizontal dots left of where this output cell starts), copy the cell output and paste it somewhere else to see the full output which shows the final AI response as well

@harshitkedia2204

Awasome

@HarishKumar-lz2nw

Bro, Thanks a lot for This Amazing Lecture 😊

Lecture - 3 Completed ✅ in LangGraph Course ⛓

@PrithaMajumder

Awesome video

@mohitggarg

Sir you are amazing.

@codewithzayn7328

Is it the last video of this series?

@wannainvest971

where its code? i need code explained in this video

@ALMAMSNews

Very good, please activate the automatic audio translation of YouTube

@rafunix

Could you share Notebook link shared in this video.

@byatin

great explanation. Thank you.

@list10001

Very clear explanation Krish Sir

@yogaraajann.e.6186

Hi sir .I need this code . Please prove the git link .where will practice the code

@SAITEJA-pf9io

If you have some issues with the second graph, here are the tips: you will need re execute the building Graph part, then run builder.add_edge("tools","tool_calling_llm")

@lixiasong3459

Krish it’s so pricey to join the course those who want to join from overseas

@mahikhan5716

u are one of the my favorite i follow u since last two year u are really a mastarmind of the ai and ml

@machine_learning_with_onkar

i loved this session hope to see more in future. 🤟

@thisstory

You rocked...Good Explanation

@dadapeer3563

Hey Krish

@shahidazad939

yes sir

@MobashshirHasan

great,,,

@imranurrehman264

can anyone expln me what's the diffrnce btwn langchain and langgraph?

@harsh-e9t7c

Yes

@bivashbose261

Hello

@bivashbose261

Great ❤

@osamaafzal7230

AI enthusiasts, don't miss this bootcamp! LangGraph by LangChain is key for scaling AI workflows. Perfect for upskilling in AI automation. Kudos to the team for organizing!

@WinonaNagy

Nice.. I have recently created an agentic chatbot with rag and snowflake as tools, handling token limits, context windows etc etc..

@sravan9253

Hi Sir kaise ho

@he_man34562

You are best

@panchananpadhy6994

Yes sir

@panchananpadhy6994

Github repo?

@MrAhsan99