euclidean_distance

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>.

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VectrixDB

Lightweight Vector Database with Embedded Machine Learning
Models

euclidean_distance function

<dl><dt>query_vector</dt>
<dd>Numeric vector (query)</dd>
<dt>doc_vectors</dt>
<dd>Matrix of document vectors</dd></dl>

Arguments

Compute euclidean distance — euclidean_distance

<dl>

<dt>query_vector</dt>
<dd>Numeric vector (query)</dd>


<dt>doc_vectors</dt>
<dd>Matrix of document vectors</dd>

</dl>

euclidean_distance: Compute euclidean distance

Description

Usage

Value

Arguments