Seamless Interactions with Files Using RAG Model

Authors: Pabale Trupti Somnath, Shinde Suvarna Deepak, Mrs. Meenakshi Singh

Country: India

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Abstract: This web application harnesses the capabilities of Retrieval Augmented Generation (RAG) technology to deliver a dynamic and personalized user experience across various file types. By integrating advanced AI features, the platform facilitates the seamless management and manipulation of diverse content formats, ensuring users can quickly access relevant information to enhance productivity and streamline workflows. The application's intuitive interface is designed with user experience in mind, providing an efficient means of interacting with documents, media files, and other data types. This combination of sophisticated technology and user-friendly design establishes the application as a powerful tool for optimizing content management and interaction processes.

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Paper Id: 232415

Published On: 2025-04-24

Published In: Volume 13, Issue 2, March-April 2025

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