GPT-4 & LangChain Tutorial: How to Chat With A 56-Page PDF Document (w/Pinecone)

In this video we'll learn how to use OpenAI's new GPT-4 api to 'chat' with a 56-page PDF document based on a real supreme court legal case. OpenAI recently announced GPT-4 (it's most powerful AI) that can process up to 25,000 words – about eight times as many as GPT-3 – process images and handle much more nuanced instructions than GPT-3.5. You'll learn how to use LangChain (a framework that makes it easier to assemble the components to build a chatbot) and Pinecone - a 'vectorstore' to store your documents in number 'vectors'. You'll also learn how to create a frontend chat interface to display the results alongside source documents. A similar process can be applied to other usecases you want to build a chatbot for: PDF's, websites, excel, or other file formats. Visuals & Code: 🖼 Visual guide download + github repo: https://github.com/mayooear/gpt4-pdf-chatbot-langchain/tree/feat/vectordbqa Twitter: https://twitter.com/mayowaoshin Website: https://www.mayooshin.com/ Send a tip to support the channel: https://ko-fi.com/mayochatdata Timestamps: 00:03 PDF demo (56-page Legal PDF doc) 02:05 Visual overview of pdf chatbot architecture 06:56 Code walkthrough pt.1 11:10 Pinecone dashboard + setup 13:43 Code walkthrough pt.2 #gpt4 #law #openai #legal #langchain #chatgpt #gpt #largelanguagemodels #langchainjavascript #langchaintypescript #promptengineering #langchaintutorial #langchainchatbot