Genicious: Contextual Few-shot Prompting for Insights Discovery

March 15, 2025 Β· Declared Dead Β· πŸ› 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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