Скачать или смотреть 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:    • GPT-4 Tutorial: How to Chat With Multiple ...  

Codebase:
https://github.com/mayooear/ai-pdf-ch...

Resources to learn how to build AI agents:
Learning LangChain (and LangGraph) book: https://www.oreilly.com/library/view/...

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




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