read_word2vec_model

Load word2vec model via optional runtime namespace lookup

internal

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

read_word2vec_model function

<dl><dt>path</dt>
<dd>Path to .bin model</dd>
<dt>normalize</dt>
<dd>Whether to normalize embeddings (forwarded when supported)</dd></dl>

Arguments

Load word2vec model via optional runtime namespace lookup — read_word2vec_model

<dl>

<dt>path</dt>
<dd>Path to .bin model</dd>


<dt>normalize</dt>
<dd>Whether to normalize embeddings (forwarded when supported)</dd>

</dl>

read_word2vec_model: Load word2vec model via optional runtime namespace lookup

Description

Usage

Value

Arguments