#006: Building a Claude AI Agent Using LangGraph: A Step-by-Step Guide

Today we'll walk through how to build a simple AI agent that can read files and answer questions about them. The main purpose is to understand how LangGraph works and how to connect a language model with tools.

Tools enable language model to pull in information into it’s context - it’s working memory where this information can then be used to provide highly accurate answers. Connecting an LLM with tools is the most powerful way to use an LLM today.

In one of my previous posts I have covered the tool descriptions for creating an automated coding agent. Here we will dive into how langgraph works and how you can actually setup your first custom tool and connect it to the LLM.

In this tutorial we will specifically NOT be using pre-built langgraph agent templates. Instead we will set up the graph from scratch in order to understand how powerful this system is.

See the steps and code below and follow along in the video!