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ESP Journal of Engineering & Technology Advancements is an open access and International Scholarly Peer-Reviewed Interdisciplinary Engineering Journal which aims to contribute recent innovations which help society and humanity to serve in the form of Engineering & Technology.

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Leveraging Retrieval-Augmented Generation (RAG) AI for Transforming Automotive Design, Manufacturing, and In-Vehicle Experiences

The automotive industry is undergoing a paradigm shift driven by the exponential growth of data from connected vehicles and evolving customer expectations. This transformation introduces both opportunities and challenges, compelling manufacturers to adopt advanced AI technologies. Retrieval-Augmented Generation (RAG) emerges as a pivotal enabler in this context, offering capabilities that span product development, manufacturing optimization, predictive maintenance, and hyper-personalized in-vehicle experiences.

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ISSN : 2583-2646

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About Us

Leveraging Retrieval-Augmented Generation (RAG) AI for Transforming Automotive Design, Manufacturing, and In-Vehicle Experiences