Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

SmartLexicon: A Retrieval Augmented Generation Based Application

Author : Varsha A, Jewell Debnath, Samyuktha Sivaraj, Shrusthi B P

Date of Publication :7th January 2026

Abstract: SmartLexicon has been called a state of the art Retrieval-Augmented Generation system aimed at making the AI-generated response more accurate and trust-worthy within some specialized domains like healthcare, law, and engineering. While earlier generative AI models relied heavily on static old datasets, SmartLexicon infused real-time data retrieval with intelligent response generation to ensure that it provides current and verifiable outputs. A key feature of SmartLexicon is its incorporation of domain-specific repositories but adds citation and confidence scores to each answer from which it generates a response thereby improving transparency for building user trust. The modular architecture of the system eases adaptation across different sectors, thus being a flexible solution for different use cases. This real-time, citation-backed approach essentially knocks down the credibility barrier for AI when mission-critical applications are concerned and heralds SmartLexicon as an innovative tool in the field of information retrieval as applicable in any professional domain-pivoting reliability and efficiency.

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