Build a Chatbot to Analyze PDF Documents Using LLM

Let's build a chatbot with Flask, LangChain and LLM that can learn the content of PDF documents and be able to answer any questions you have. Many organizations use PDF documents because they contain an abundance of data. In order to make use of the information, you need to go through hundreds of pages. Chatbots are your personal assistant, powered by AI which will complete your reading in a matter of seconds and answer your questions regarding the information it read.In the course of this work, you'll create chatbots using Flask LangChain, Flask as well as Large Language Model (LLM), that is capable of uploading, and understanding PDF documents. This could be a game changer in situations where you require quick access to data from large documents. For example, if you're working with machinery and you have hundreds of pages of confidential guidelines, this bot can give you instant access to certain details while also ensuring privacy of data. Imagine you have a cookbook that is specifically designed that caters to a specific diet. You can quickly search for recipes that are based on ingredients in your kitchen. Additionally, you will gain a more understanding of the development of web applications with Flask and Python and also the application in the framework LangChain for understanding and responding to inputs from users.