Genicious: Contextual Few-shot Prompting for Insights Discovery

• URL: http://arxiv.org/abs/2503.12062v1
• Date: Sat, 15 Mar 2025 09:27:59 GMT
• Title: Genicious: Contextual Few-shot Prompting for Insights Discovery
• Authors: Vineet Kumar, Ronald Tony, Darshita Rathore, Vipasha Rana, Bhuvanesh Mandora, Kanishka, Chetna Bansal, Anindya Moitra,
• Abstract summary: Genicious is an end-to-end tool that leverages contextual few-shot prompting.<n>We have developed an end-to-end tool that leverages contextual few-shot prompting, achieving superior performance in terms of latency, accuracy, and scalability.
• Score: 1.0641453271784744
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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