AI-Driven Multi-PDF Chatbot: Integrating LangChain and GPT-3 for Enhanced Data Processing

Abstract

In today’s advanced scene, the proliferation of data in the form of PDF records has created a significant challenge for efficient data retrieval and utilization.Traditional methods of manually searching and parsing through numerous PDF records are often time-consuming, error-prone, and inefficient, especially when dealing with large volumes of information. To address this issue, a novel multi-PDF content to chatbot framework is proposed, combining the power of Langchain, a system for creating applications with large language models (LLMs), and the capabilities of Generative AI. The proposed framework offers a seamless and natural approach for users to interact with and query information from a vast collection of PDF documents through a common language interface. By ingesting and comprehending the content of multiple PDF records, the framework leverages Langchain’s ability to connect with state- of-the-art LLMs, such as GPT-3 or BERT, to facilitate natural language processing and generation. The core of the framework lies in its ability to preprocess and vectorize the text data extracted from the ingested PDF documents, enabling efficient retrieval and matching with user queries. Langchain’s integration with LLMs allows for advanced natural language understanding and generation, while Generative AI models are used to produce contextually relevant and human-like responses based on the retrieved information from the PDF documents. The proposed framework aims to streamline data retrieval processes, enhance user experience, and provide a more intuitive and conversational approach to accessing and utilizing the wealth of information contained within PDF documents. By combining the strengths of Langchain, LLMs, and Generative AI, the framework offers a powerful and scalable solution for businesses,researchers, and individuals seeking to unlock the potential of their PDF document repositories. Through comprehensive evaluation and testing, the effectiveness of the multi-PDF content to chatbot framework is demonstrated in terms of response accuracy, relevance, and user satisfaction. Additionally, potential applications, limitations, and future research directions in this rapidly evolving field are discussed.