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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling linux/jammy R-4.5 | VectrixDB_1.1.2.tar.gz |
2.0 MiB |
1.1.2 |
rolling linux/noble R-4.5 | VectrixDB_1.1.2.tar.gz |
2.0 MiB |
1.1.2 |
rolling source/ R- | VectrixDB_1.1.2.tar.gz |
148.0 KiB |
1.1.2 |
latest linux/jammy R-4.5 | VectrixDB_1.1.2.tar.gz |
2.0 MiB |
1.1.2 |
latest linux/noble R-4.5 | VectrixDB_1.1.2.tar.gz |
2.0 MiB |
1.1.2 |
latest source/ R- | VectrixDB_1.1.2.tar.gz |
148.0 KiB |
1.1.2 |
2026-04-26 source/ R- | VectrixDB_1.1.2.tar.gz |
148.0 KiB |
1.1.2 |
2026-04-23 source/ R- | VectrixDB_1.1.2.tar.gz |
148.0 KiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | VectrixDB_1.1.2.zip |
2.0 MiB |