Application of AI in Solving Real-World Problems: A Retrieval-Augmented Generation Framework for Intelligent Information Access
Year: 2025
Type: article
Abstract: This paper presents a Retrieval-AugmentedGeneration (RAG) system that integrates AI and advanceddata retrieval techniques to address real-world challenges. Thesystem processes diverse data formats, including PDFs, weblinks, videos, and images, leveraging Large Language Models(LLMs) and vector databases for semantic understanding. Ourapproach bridges the gap between traditional keyword-basedsystems and modern AI-driven solutions, offering precise,contextually relevant, and actionable insights. The paperdetails the methodology, results, and potential applicationsacross domains like education, healthcare, and customerservice, highlighting its transformative potential insimplifying information retrieval.
Authors: Singh, Yuvraj, Singh, Urvashi, Singh, Tushar
Institution: Galgotias College of Engineering & Technology
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930645219
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