Genicious: Contextual Few-shot Prompting for Insights Discovery
March 15, 2025 Β· Declared Dead Β· π COMAD/CODS
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Authors
Vineet Kumar, Ronald Tony, Darshita Rathore, Vipasha Rana, Bhuvanesh Mandora, Kanishka, Chetna Bansal, Anindya Moitra
arXiv ID
2503.12062
Category
cs.IR: Information Retrieval
Citations
1
Venue
COMAD/CODS
Last Checked
4 months ago
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.
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