Large Language Models (LLMs) are significantly changing the way we interact with data and generate insights. But their real superpower lies in the ability to connect with external tools. Tool calling turns LLMs into agents capable of browsing the web, querying databases, and generating content — all from a simple natural language prompt.
In this article, we go one step beyond single-tool agents and show how to build a multi-tool LangChain agent. We’ll walk through a use case where the agent: