Intelligent PDF Chat System: Leveraging Retrieval-Augmented Generation with LLMs

Author(s)	Dr. Kotoju Rajitha, Mr. Md Salik Aqdas, Ms. Molugu Aishwarya
Country	India
Abstract	With the exponential increase in digital documents, queries and extraction of information from PDFs in an intuitive manner have become highly required. This paper is a first-of-its-kind PDF Chat App that leverages LangChain and the Large Language Models of OpenAI to facilitate the real-time interaction of users with PDF content. The system applies NLP to enable conversational engagement involving interactive extraction of relevant portions, summaries, or answers of PDFs. The proposed framework sheds light on the challenges and limitations of these current solutions and presents an improved architecture using Retrieval-Augmented Generation.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43412
Short DOI	https://doi.org/g9g773

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International Journal For Multidisciplinary Research