Paper Key : IRJ************019
Author: D. Deepthi Reddy,K. Mahesh Babu ,M. Samuel,S. Sai Ram
Date Published: 01 Feb 2025
Abstract
This explores the development of an advanced AI-powered document parsing system designed to revolutionize the way static PDF documents are processed and utilized. Existing solutions like Adobe Acrobat and Mendeley, while functional, lack the contextual understanding and semantic capabilities necessary for efficient information retrieval, particularly in academic, corporate, and research-intensive environments. The proposed system, leverages cutting-edge AI technologies, including Vector Databases (Vector DB) and OpenAIs semantic search engine, to transform traditional PDF documents into intelligent, searchable knowledge bases. The architecture focuses on three main processes: document ingestion, contextual information extraction, and semantic retrieval. Users can query the system in natural language, receiving accurate and context-aware results, even when the exact keywords are not present in the document.
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