Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models

Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models

This preliminary study covers the construction and application of a Graph-based Retrieval-Augmented Generation (GraphRAG) system integrating a multimodal LLM, Large Language and Vision Assistant (LLaVA) with graph database software (Neo4j) to enhance LLM output quality through structured knowledge r...

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Bibliographic Details
Main Authors: Daniel S. Roll, Zeyneb Kurt, Yulei Li, Wai Lok Woo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
large language models
retrieval-augmented generation
knowledge retrieval
graph databases
orbital debris
space situational awareness
Online Access:https://www.mdpi.com/1424-8220/25/11/3352
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