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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>.
Getting started
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Package details |
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| Author | Kwadwo Daddy Nyame Owusu Boakye [aut, cre] |
| Maintainer | Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com> |
| License | Apache License (>= 2) |
| Version | 1.1.2 |
| URL | https://knowusuboaky.github.io/vectrixdb-r/ https://github.com/knowusuboaky/vectrixdb-r |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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