Genicious: Contextual Few-shot Prompting for Insights Discovery
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arXiv
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| Format: | Preprint |
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2025
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| author | Kumar, Vineet Tony, Ronald Rathore, Darshita Rana, Vipasha Mandora, Bhuvanesh Kanishka Bansal, Chetna Moitra, Anindya |
| author_facet | Kumar, Vineet Tony, Ronald Rathore, Darshita Rana, Vipasha Mandora, Bhuvanesh Kanishka Bansal, Chetna Moitra, Anindya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12062 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Genicious: Contextual Few-shot Prompting for Insights Discovery Kumar, Vineet Tony, Ronald Rathore, Darshita Rana, Vipasha Mandora, Bhuvanesh Kanishka Bansal, Chetna Moitra, Anindya Information Retrieval 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. |
| title | Genicious: Contextual Few-shot Prompting for Insights Discovery |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2503.12062 |