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querychat  

Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface
View on CRAN: Click here


Download and install querychat package within the R console
Install from CRAN:
install.packages("querychat")

Install from Github:
library("remotes")
install_github("cran/querychat")

Install by package version:
library("remotes")
install_version("querychat", "0.4.1")



Attach the package and use:
library("querychat")
Maintained by
Garrick Aden-Buie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-12
Latest Update: 2026-01-12
Description:
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.
How to cite:
Garrick Aden-Buie (2026). querychat: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface. R package version 0.4.1, https://cran.r-project.org/web/packages/querychat. Accessed 23 Oct. 2026.
Previous versions and publish date:
(2026-10-22 08:20), 0.2.0 (2026-01-12 20:50), 0.3.0 (2026-06-02 00:00), 0.4.0 (2026-09-14 00:40), 0.4.1 (2026-09-30 17:00)
Other packages that cited querychat R package
View querychat citation profile
Other R packages that querychat depends, imports, suggests or enhances
Complete documentation for querychat
Functions, R codes and Examples using the querychat R package
Full querychat package functions and examples
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