Package: VectrixDB
Type: Package
Title: Lightweight Vector Database with Embedded Machine Learning
        Models
Version: 1.1.2
Authors@R: person(given = "Kwadwo Daddy Nyame",
                  family = "Owusu Boakye",
                  email = "kwadwo.owusuboakye@outlook.com",
                  role = c("aut", "cre"))
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
Description: 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>.
License: Apache License (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
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
Config/testthat/edition: 3
URL: https://knowusuboaky.github.io/vectrixdb-r/,
        https://github.com/knowusuboaky/vectrixdb-r
BugReports: https://github.com/knowusuboaky/vectrixdb-r/issues
NeedsCompilation: no
Packaged: 2026-02-18 19:10:48 UTC; kwadw
Repository: CRAN
Date/Publication: 2026-02-20 11:40:19 UTC
Built: R 4.5.3; ; 2026-03-22 03:41:38 UTC; windows
