Unlocking Insights: Semantic Search in Jupyter Notebooks

arXiv:2402.13234v1 Announce Type: cross
Abstract: Semantic search, a process aimed at delivering highly relevant search results by comprehending the searcher's intent and the contextual meaning of terms within a searchable dataspace, plays a pivotal role in information retrieval. In this paper, we investigate the application of large language models to enhance semantic search capabilities, specifically tailored for the domain of Jupyter Notebooks. Our objective is to retrieve generated outputs, such as figures or tables, associated functions and methods, and other …

abstract application arxiv cs.cl cs.ir information insights jupyter jupyter notebooks language language models large language large language models meaning notebooks paper pivotal process retrieval role search search results semantic terms type