PDF CHAT_BOT USING GENERATIVE AI (LLMS&RAG)

Abstract

This paper delves into the increasing craziness of planting chatbots and artificially intelligent systems (AI) in academia and disquisition. Chatbots are employed even more frequently to deliver adapted backing, attack enterprises, and develop fascinating spaces for knowledge. Chatbots empower directors to hone education while delivering actual-time support for pupils with assignments and examinations and issue explanations by outsourcing executive tasks. The creation of a PDF chatbot using Large Language Models (LLMs) in generative AI is one example of such an application. This project uses prompt-based querying, tokenization, and a vector-based component to store PDF inputs. The chatbot uses LLMs to build embedded prompts and pull text snippets from a knowledge base to respond to user inquiries. Chatbots' accessibility and flexibility enhance pupil involvement and expedite learning objectives.