Guardado en:
Detalles Bibliográficos
Autor principal: Balch II, R.S.
Formato: Recurso digital
Lenguaje:
Publicado: Zenodo 2026
Materias:
Acceso en línea:https://doi.org/10.5281/zenodo.19324840
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866901749516730368
author Balch II, R.S.
author_facet Balch II, R.S.
contents STAR (Semantic Temporal Associative Retrieval) is a local-first, graph-based information retrieval system designed to enable resource-constrained devices to navigate large-scale personal knowledge corpora. Unlike traditional dense vector retrieval systems that require loading complete indices into RAM, STAR implements a sparse bipartite graph approach that retrieves only relevant 'atoms' of information required for a given query.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19324840
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle STAR: Semantic Temporal Associative Retrieval - A Local-First Graph-Based Context Engine
Balch II, R.S.
information retrieval
graph algorithms
local-first AI
personal knowledge management
sparse retrieval
STAR (Semantic Temporal Associative Retrieval) is a local-first, graph-based information retrieval system designed to enable resource-constrained devices to navigate large-scale personal knowledge corpora. Unlike traditional dense vector retrieval systems that require loading complete indices into RAM, STAR implements a sparse bipartite graph approach that retrieves only relevant 'atoms' of information required for a given query.
title STAR: Semantic Temporal Associative Retrieval - A Local-First Graph-Based Context Engine
topic information retrieval
graph algorithms
local-first AI
personal knowledge management
sparse retrieval
url https://doi.org/10.5281/zenodo.19324840