create_vector_cache

Create a VectorCache with specified backend

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

create_vector_cache function

<dl><dt>backend</dt>
<dd>Backend type: "memory", "file", or "none"</dd>
<dt>...</dt>
<dd>Additional config options</dd></dl>

Arguments

Create Vector Cache — create_vector_cache

<dl>

<dt>backend</dt>
<dd>Backend type: "memory", "file", or "none"</dd>


<dt>...</dt>
<dd>Additional config options</dd>

</dl>

create_vector_cache: Create Vector Cache

Description

Usage

Value

Arguments