How to Build an Advanced AI Agent with Search (LangGraph, Python, Bright Data & More)
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.
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🎞 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
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More on: Agent Foundations
View skill →Related AI Lessons
Chapters (9)
| Overview
0:55
| Project Demo
3:34
| Understanding Web Search
6:04
| Understanding the Architecture
8:35
| Project Setup
11:36
| Langflow Structure
37:44
| BrightData Setup
51:12
| Web Operations/Scraping/Searching
1:08:49
| LLM Calls & Prompting
🎓
Tutor Explanation
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