How to Build an AI Chatbot Agent to Analyze Large PDFs Using LangGraph

In this video, you'll learn how to build an AI agent that can 'chat' with and analyze your PDFs and make autonomous decisions to do other things i.e. web search. To do this we utilise LangGraph, a low-level development framework and platform—used by Replit, Uber, LinkedIn, Klarna, and more—that makes it easier for developers to build highly reliable, customisable, and scalable AI agents. LangGraph enables useful AI agentic features including memory, ability to retrieve data from external APIs (i.e. web search), and human-in-the-loop intervention to ensure critical actions are approved by a human. This tutorial is an up to date version of the popular 'How to Chat With Multiple PDF Files' video here: https://www.youtube.com/watch?v=Ix9WIZpArm0 Codebase: https://github.com/mayooear/ai-pdf-chatbot-langchain Resources to learn how to build AI agents: - Learning LangChain (and LangGraph) book: https://www.oreilly.com/library/view/learning-langchain/9781098167271/ Socials: https://x.com/mayowaoshin Timestamps: 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 #langgraph #finance #marketing #investing