load_word_vectors

Loads pre-trained word vectors from a file

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>.

Kwadwo Daddy Nyame Owusu Boakye

VectrixDB

Lightweight Vector Database with Embedded Machine Learning
Models

load_word_vectors function

<dl><dt>path</dt>
<dd>Path to word vectors file (GloVe .txt or word2vec .bin)</dd>
<dt>max_words</dt>
<dd>Maximum number of words to load (NULL for all)</dd>
<dt>normalize</dt>
<dd>Normalize vectors to unit length</dd></dl>

Arguments

Load word vectors into memory — load_word_vectors

<dl>

<dt>path</dt>
<dd>Path to word vectors file (GloVe .txt or word2vec .bin)</dd>


<dt>max_words</dt>
<dd>Maximum number of words to load (NULL for all)</dd>


<dt>normalize</dt>
<dd>Normalize vectors to unit length</dd>

</dl>

load_word_vectors: Load word vectors into memory

Description

Usage

Value

Arguments