Learn to build an AI chatbot agent capable of analyzing large PDFs and making autonomous decisions like performing web searches using LangGraph, a low-level development framework used by companies like Replit, Uber, and LinkedIn. This one-hour tutorial demonstrates how to create a system with memory, external API retrieval capabilities, and human-in-the-loop intervention for critical actions. Follow along with a complete codebase walkthrough covering document ingestion, workflow visualization, relevant document retrieval, local development setup, and deployment using the LangGraph platform. This video serves as an updated version of the popular PDF chat tutorial, with timestamps guiding you through each section from initial demo to final deployment.
How to Build an AI Chatbot Agent to Analyze Large PDFs Using LangGraph
Overview
Syllabus
00:02 Demo of PDF chatbot
07:13 Codebase walkthrough - How to "ingest" your docs
21:43 Visual explanation of the workflow
29:09 Codebase walkthrough - How to "retrieve" relevant docs
45:00 How to setup the AI agent on your local development environment
55:00 How to use LangGraph platform to deploy your app
Taught by
Chat with data
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