Unveiling Insights Through Question Answering Chatbot using LangChain

In today's world, various chatbots have been created, such as to converse with humans for customer care, ChatGPT to generate text for several purposes, or domain specific tasks. However, the chatbot introduced in this study differs because it provides a convenient way to search and interact with PDF documents. This bot is capable of answering questions about multiple PDF documents. This study aims to create a user centric and intelligent system that enhances information retrieval from PDF documents through natural language queries. This intelligent system is designed to significantly improve user experience by making the search and retrieval process more intuitive and accessible. In this paper, a chatbot is designed as a web application using Streamlit that allows users to chat with multiple PDF documents, extracting information from them and providing responses based on user queries. This study introduces a novel chatbot designed to enhance the process of information retrieval from PDF documents through natural language queries. The paper details the architecture of the chatbot, its implementation, and the potential applications of this technology in various fields, such as research, education, and document management. Overall, this study aims to advance the capabilities of chatbots in handling domain-specific tasks and transforming the way users interact with complex document collections.