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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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Published Paper Details
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| Paper Title: | A Book-Based Search System: An Intelligent Document-Specific Search Application Powered by RAG and AI for Context-Aware Information Retrieval |
| Authors Name: | R.KAMALI , V M SELVAGANAPATHI , J SYED ANEES , S SHREENIVASAN , S VENKATRAM |
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IJRTI_202923
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| Published Paper Id: | IJRTI2504251 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The project focuses on developing a wise book-based search system, which is designed to provide document-specific discovery functionality. It is particularly useful for students, researchers and professionals, which require accurate information from academic books, manuals or research papers. Unlike the traditional search engine or AI model that receives answers from pre-educated dataset or internet sources, this system ensures that all reactions are strictly obtained from the uploaded book or document. It appoints the recovery-dreamed generation (RAG) model, language, and Google AI studio for booking and index book content, allowing users to ask questions and get accurate, reference-inconceivable answers. The system has both text and voice interaction capacity, making it accessible to various users. With its user -friendly interface and efficient search algorithms, the system provides a cost -effective solution for students, researchers and professionals, which require accurate information from specific documents. The application eliminates manual discovery through pages, reduces the time spent in finding the relevant material, and ensures perfectly high quality reactions depending on the content uploaded. This solution serves as an excellent reference to organizations to apply AI-managed document search systems that prefer accuracy and relevant relevance. |
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| Cite Article: | "A Book-Based Search System: An Intelligent Document-Specific Search Application Powered by RAG and AI for Context-Aware Information Retrieval", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c233-c241, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504251.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504251
Registration ID:202923
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c233-c241 Country: salem, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504251 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504251 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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