querychat: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface

2026 Dataset Open access

Read full text
Authors: Garrick Aden-Buie, Joe Z. Cheng, Carson Sievert
DOI: 10.32614/cran.package.querychat
Cited by: 0

Abstract

Adds an LLM-powered chatbot to your 'shiny' app, that can turn your users' natural language questions into SQL queries that run against your data, and return the result as a reactive data frame. Use it to drive reactive calculations, visualizations, downloads, and more.

Fields of Study & Subjects

Data Analysis with R Natural Language Processing Techniques Data Visualization and Analytics

Publication details

Publication date
12 January 2026
Document type
Dataset