Lightweight Vector Database with Embedded Machine Learning Models R package VectrixDB version 1.1.2 A lightweight vector database for text retrieval in R with embedded machine learning models and no external API (Application Programming Interface) keys. Supports dense and hybrid search, optional HNSW (Hierarchical Navigable Small World) approximate nearest-neighbor indexing, faceted filters with ACL (Access Control List) metadata, command-line tools, and a local dashboard built with 'shiny'. The HNSW method is described by Malkov and Yashunin (2018) <doi:10.1109/TPAMI.2018.2889473>. Software Imports: R6, jsonlite, digest, Matrix, text2vec (>= 0.6.0), stopwords, tools, utils, stats, RSQLite, DBI Suggests: testthat (>= 3.0.0), shiny, plumber, pkgdown, RcppAnnoy, reticulate, rappdirs Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com> Comprehensive R Archive Network (CRAN) Kwadwo Daddy Nyame Owusu Boakye [aut, cre] Apache License (>= 2) 2026-02-20 application/tgz https://CRAN.R-project.org/package=VectrixDB doi:10.32614/CRAN.package.VectrixDB