Lighthouse Bot: A Platform for Evaluating LLMs for Agentic Maritime Data Analysis

This study evaluates whether open-source Large Language Models (LLMs) can serve as practical alternatives to proprietary commercial models for AI-driven maritime data analytics. We compared multiple open-source LLMs against a commercial alternative using a custom-built evaluation framework with synthetic test cases derived from real maritime ferry data, employing Retrieval-Augmented Generation (RAG) systems and RAGAS/custom evaluation metrics. Results demonstrate a performance difference, though this varies by query complexity and model size.

Publication Details

Journal
DiVA (Linnaeus University)
Published
2025-01-01
Primary Topic
Botany, Ecology, and Taxonomy Studies
Type
article
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article

Lighthouse Bot: A Platform for Evaluating LLMs for Agentic Maritime Data Analysis

DiVA (Linnaeus University)
Botany, Ecology, and Taxonomy Studies
article

Lighthouse Bot: A Platform for Evaluating LLMs for Agentic Maritime Data Analysis

article en

Abstract

This study evaluates whether open-source Large Language Models (LLMs) can serve as practical alternatives to proprietary commercial models for AI-driven maritime data analytics. We compared multiple open-source LLMs against a commercial alternative using a custom-built evaluation framework with synthetic test cases derived from real maritime ferry data, employing Retrieval-Augmented Generation (RAG) systems and RAGAS/custom evaluation metrics. Results demonstrate a performance difference, though this varies by query complexity and model size.

DiVA (Linnaeus University)
Life below water
Openalex Percentile: Top 35%
Botany, Ecology, and Taxonomy Studies
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Lighthouse Bot: A Platform for Evaluating LLMs for Agentic Maritime Data Analysis · DiVA (Linnaeus University) (2025) | TGRS Research Map | TGRS