In this tutorial, I'll show you how to build an AI agent in Python using LangChain's `create_agent`, NVIDIA's ChatNVIDIA model integration, and the Tavily search tool.
Learn how to connect a powerful LLM with a web search tool so your AI agent can search for information and generate useful responses.
🔥 What You'll Learn
✅ How to set up LangChain in Python
✅ How to integrate NVIDIA models using `ChatNVIDIA`
✅ How to use Tavily for web search
✅ How to create an AI agent using LangChain's `create_agent`
✅ How to connect tools with an LLM
✅ How to invoke the agent and get responses
🛠️ Technologies Used
Python
LangChain
NVIDIA ChatNVIDIA
Tavily Search API
LangChain `create_agent`
💻 Who Should Watch?
This tutorial is for Python developers, Java developers exploring AI, and anyone interested in building LLM-powered applications and AI agents.
If you're learning LangChain, tool calling, or AI agent development, this tutorial will help you understand how these components work together.
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