GPT-4 & LangChain Tutorial - How to Chat With A 56-Page PDF Document

Learn how to create a chatbot capable of interacting with a 56-page PDF document using OpenAI's GPT-4 API, LangChain, and Pinecone. Explore the process of building a system that can process and respond to queries about complex legal documents, utilizing GPT-4's enhanced capabilities to handle up to 25,000 words and process images. Discover how to implement LangChain for easier chatbot component assembly and Pinecone for efficient document vector storage. Follow along with a detailed code walkthrough, including Pinecone dashboard setup, and learn how to create a frontend chat interface that displays results alongside source documents. Apply these techniques to develop chatbots for various file formats and use cases, enhancing your ability to work with large language models and create powerful AI-driven applications.