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1 article for “Instructor XL”
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Developing a RAG-PDF Reader Using Instructor XL and Falcon 7B
Abstract: This study outlines the development of a Retrieval-Augmented Generation (RAG) application, designed to efficiently extract, retrieve, and synthesize insightful responses from complex PDF documents. Leveraging advanced models like Instructor XL for generating high-quality semantic embeddings and Falcon 7B for sophisticated language generation, this system provides a robust solution for document comprehension in academic, research, and professional environments. By implementing efficient PDF text processing, embedding storage with FAISS for rapid similarity-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 45–49 Read article