Role of Database in GenAI Applications

Authors: Santosh Bhupathi

Country: United States

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Abstract: Generative AI (GenAI) is transforming industries by enabling intelligent content generation, automation, and decision-making. However, the effectiveness of GenAI applications depends significantly on efficient data storage, retrieval, and contextual augmentation. This paper explores the critical role of databases in GenAI workflows, emphasizing the importance of choosing the right database architecture to optimize performance, accuracy, and scalability. It categorizes database roles into conversational context (key-value/document databases), situational context (relational databases/data lakehouses), and semantic context (vector databases) each serving a distinct function in enriching AI-generated responses. Additionally, the paper highlights real-time query processing, vector search for semantic retrieval, and the impact of database selection on model efficiency and scalability. By leveraging a multi-database approach, GenAI applications can achieve more context-aware, personalized, and high-performing AI-driven solutions.

Keywords: Database, GenAI, AI, Cloud technologies, Vector Database

Paper Id: 232211

Published On: 2025-03-07

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

Cite This: Role of Database in GenAI Applications - Santosh Bhupathi - IJIRMPS Volume 13, Issue 2, March-April 2025.

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