The paper runs a systematic comparison of RAG pipelines, retrieval strategies, embedding models, and LLMs on space-domain documents and reports gains in accuracy, relevance, and decision support.
LLMs with Industrial Lens: Deci- phering the Challenges and Prospects - A Survey.ArXiv, abs/2402.14558, 2024
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A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations
The paper runs a systematic comparison of RAG pipelines, retrieval strategies, embedding models, and LLMs on space-domain documents and reports gains in accuracy, relevance, and decision support.