VectrixDB: Lightweight Vector Database with Embedded Machine Learning Models

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>.

Version:	1.1.2
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
Published:	2026-02-20
DOI:	10.32614/CRAN.package.VectrixDB (may not be active yet)
Author:	Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer:	Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye at outlook.com>
BugReports:	https://github.com/knowusuboaky/vectrixdb-r/issues
License:	Apache License (≥ 2)
URL:	https://knowusuboaky.github.io/vectrixdb-r/, https://github.com/knowusuboaky/vectrixdb-r
NeedsCompilation:	no
Materials:	README
CRAN checks:	VectrixDB results

Documentation:

Reference manual:

VectrixDB.html , VectrixDB.pdf

Downloads:

Package source:	VectrixDB_1.1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): VectrixDB_1.1.2.tgz, r-oldrel (arm64): VectrixDB_1.1.2.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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