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How to Build an Advanced AI Agent with Search (LangGraph, Python, Bright Data & More)

2025-08-24 Education
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Tech With Tim
Tech With Tim
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Description

Get started with BrightData and get $20 in credits for free: https://brdta.com/twt_websearch Check out PyCharm, the Python IDE for data and web professionals: https://jb.gg/check-pycharm-now In this video, we're building an advanced AI agent in Python using LangGraph. Now, this isn't going to be a basic jump on. This is a multi-step, deep research agent that will pull live data from sources like Google, Bing, and Reddit. I'm going to be covering advanced Python concepts, complex architecture, and best practices for building agents that go far beyond just a single prompt response. Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter 🎞 Video Resources 🎞 Code in this video: https://github.com/techwithtim/Advanced-Langflow-Web-Agent Learn LangGraph: https://www.youtube.com/watch?v=1w5cCXlh7JQ&ab_channel=TechWithTim UV Tutorial: https://www.youtube.com/watch?v=6pttmsBSi8M&t=1s&ab_channel=TechWithTim ⏳ Timestamps ⏳ 00:00:00 | Overview 00:00:55 | Project Demo 00:03:34 | Understanding Web Search 00:06:04 | Understanding the Architecture 00:08:35 | Project Setup 00:11:36 | Langflow Structure 00:37:44 | BrightData Setup 00:51:12 | Web Operations/Scraping/Searching 01:08:49 | LLM Calls & Prompting Hashtags #LangGraph #Python #AIAgents

Top Comments (10)

@ItzMeCruzie 2025-08-24

Can we get an updated ADVANCED Livekit voice agents detailed tutorial please

6
@TyronneRatcliff 2025-08-24

I learned a lot from studying the code of that advanced AI agent you created awhile go.

3
@nsantanu 2025-08-24

Excellent video 👍

1
@Any-Mouse 2025-08-29

As an absolute n00b, can you do a video showing the differences btwn langgraph and n8n. Seems the nodes and vertices are interchanged?

1
@FutureCodingStars 2025-08-25

Thanks for this fantastic deep dive. The LangGraph architecture is brilliant for multi-agent systems. I especially appreciate you highlighting the use of Pydantic for structured output. That's a crucial practice for building truly reliable and scalable agents. This is a great example of how to build robust, production-ready AI.

0 1 replies
@svrthvk98 2025-08-30

Thanks Tim, great tutorial

0
@abdallahalbohy1272 2025-08-30

Thanks tim and ask god to guide you. The most important thing I got... how langraph structured ? how we can force the llms format by pydantic ? , how can we handle the api inputs and outputs generally and espcially for Bright Data, how the general project structured and cleaned.. I've got a lot of benefits. I've tried to do and I will apply for other projects' ideas. Thanks again..

0
@shriksramaswamy 2025-09-13

This is great. thank you for this

0
@sonamuhialdeen7866 2025-08-27

Amazing tutorial thanks

0
@SmartLingua-f3s 2025-08-25

Tim, thx a bunch for the amazing tut. Btw, I guess you meant LangGraph, not LangFlow in the description😊

0

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