VectrixDB
1.1.2Lightweight Vector Database with Embedded Machine Learning Models
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 4%
- Documented parameters
- 100%
- Return-value docs
- 38%
- References docs
- 0%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/knowusuboaky/vectrixdb-r on 2026-08-16.
Dependencies
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.2Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-02-20
- Total releases
- 1 / 1 yrs
- License
- Apache License (>= 2)
- Download size
- 148 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("VectrixDB")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.