GPT-4 Tutorial - How to Chat With Multiple PDF Files of Tesla's 10-K Annual Reports

Learn how to leverage OpenAI's GPT-4 API to analyze and interact with multiple PDF files, specifically focusing on Tesla's 10-K Annual Reports totaling approximately 1000 pages. Explore the process of building a chatbot using LangChain framework and Pinecone vectorstore to handle large volumes of text data. Discover techniques for creating a frontend chat interface that displays results alongside source documents. Follow along with a comprehensive code walkthrough, including an overview of the Pinecone dashboard. Gain insights into applying similar methods for various use cases involving PDFs, websites, Excel files, and other formats. Access visual guides, code repositories, and additional resources to further enhance your understanding of building AI-powered chatbots for data analysis.

PDF demo analysis of 1000-pages of annual reports
Visual overview of the multiple pdf chatbot architecture
Code walkthrough pt.1
Pinecone dashboard
Code walkthrough pt.2