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In this video we'll learn how to use OpenAI's new GPT-4 api to 'chat' with and analyze multiple PDF files. In this case, I use three 10-k annual reports for Tesla (~1000 PDF pages) 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: \ud83d\uddbc Visual guide download + github repo (this is the base template used for this demo): https://github.com/mayooear/gpt4-pdf-chatbot-langchain Courses: \ud83d\udcbb A step-by-step beginners program on how to build a ChatGPT chatbot for your data: https://chatwithdata.teachable.com/p/aichatbotdata Community: \ud83d\udc7e Join the discord community: https://discord.gg/E4Mc77qwjm Say hello or ask questions on Twitter: https://twitter.com/mayowaoshin Send a tip to support the channel: https://ko-fi.com/mayochatdata Timestamps: 01:02 PDF demo (analysis of 1000-pages of annual reports) 06:01 Visual overview of the multiple pdf chatbot architecture 17:40 Code walkthrough pt.1 25:15 Pinecone dashboard 28:30 Code walkthrough pt.2 #gpt4 #investing #finance #stockmarket #stocks #trading #openai #langchain #chatgpt #langchainjavascript #langchaintypescript #langchaintutorial