normalize_vectors

Normalize vectors for cosine similarity

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

normalize_vectors function

<dl><dt>vectors</dt>
<dd>Matrix of vectors (rows are vectors)</dd></dl>

Arguments

Normalize vectors for cosine similarity — normalize_vectors

<dl>

<dt>vectors</dt>
<dd>Matrix of vectors (rows are vectors)</dd>

</dl>

normalize_vectors: Normalize vectors for cosine similarity

Description

Usage

Value

Arguments