Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research

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Hauptverfasser: Kerby, Thomas, Fuller, Benjamin, Moon, Kevin
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author Kerby, Thomas
Fuller, Benjamin
Moon, Kevin
author_facet Kerby, Thomas
Fuller, Benjamin
Moon, Kevin
contents <p><strong>Nexarag</strong> is an open-source platform for building knowledge graphs from research papers and querying them with AI, enabling transparent and reproducible literature analysis without the hallucinations of traditional RAG systems. Deploy locally with full privacy control or integrate with any LLM via the standardized Model Context Protocol (MCP).</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19595059
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research
Kerby, Thomas
Fuller, Benjamin
Moon, Kevin
Knowledge Graph
LLM
Neo4j
MCP
<p><strong>Nexarag</strong> is an open-source platform for building knowledge graphs from research papers and querying them with AI, enabling transparent and reproducible literature analysis without the hallucinations of traditional RAG systems. Deploy locally with full privacy control or integrate with any LLM via the standardized Model Context Protocol (MCP).</p>
title Nexarag: Democratizing Reproducible Knowledge Graph Contexts for LLM Research
topic Knowledge Graph
LLM
Neo4j
MCP
url https://doi.org/10.5281/zenodo.19595059