How to build LangGraph ReAct agent with web connection via Tavily🔥: Python & Node.js — LangChain #1

In today’s tutorial, we are going to build a terminal user interface so that we can chat with a LangGraph ReAct agent using the Tavily tool to get a web connection and an OpenAI LLM. I’ll show you an example in both Python and Node.js.

🔗 Links 🔗
Read more about ReAct: https://arxiv.org/abs/2210.03629

⭐ Code ⭐
GitHub repository: https://github.com/rokbenko/ai-playgr...
Code for this tutorial: https://github.com/rokbenko/ai-playgr...

🙌 Support 🙌
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👇 Contact 👇
GitHub: https://github.com/rokbenko
StackOverflow: https://stackoverflow.com/users/10347...
LinkedIn:   / rokbenko  

🎞️ Timestamps 🎞️
00:00 – Intro
00:14 – Code for this tutorial
00:28 – Learning goals
01:33 – Dependencies installation explained
02:16 – Install Python dependencies
02:57 – Install Node.js dependencies
03:25 – Create an .env file to set up environment variables
03:45 – Code breakdown
05:32 – Agent flow
06:04 – Run the Python example
06:40 – Run the Node.js example
07:13 – Outro

#LangChain #LangGraph #Tavily #OpenAI #AIagents #AI