English

Genicious: Contextual Few-shot Prompting for Insights Discovery

Information Retrieval 2025-03-18 v1

Abstract

Data and insights discovery is critical for decision-making in modern organizations. We present Genicious, an LLM-aided interface that enables users to interact with tabular datasets and ask complex queries in natural language. By benchmarking various prompting strategies and language models, we have developed an end-to-end tool that leverages contextual few-shot prompting, achieving superior performance in terms of latency, accuracy, and scalability. Genicious empowers stakeholders to explore, analyze and visualize their datasets efficiently while ensuring data security through role-based access control and a Text-to-SQL approach.

Keywords

Cite

@article{arxiv.2503.12062,
  title  = {Genicious: Contextual Few-shot Prompting for Insights Discovery},
  author = {Vineet Kumar and Ronald Tony and Darshita Rathore and Vipasha Rana and Bhuvanesh Mandora and Kanishka and Chetna Bansal and Anindya Moitra},
  journal= {arXiv preprint arXiv:2503.12062},
  year   = {2025}
}

Comments

5 pages, 3 figures, CODS-COMAD Dec 24, Jodhpur, India