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Adapting bioinformatics data systems in the era of foundational models: leveraging retrieval-augmented generation and low-resource large language models

2025-08-19

Abstract excerpt

<title>Abstract</title> <p>We investigated how to leverage existing assets, such as curated life science database catalogs, in the era of information retrieval powered by large language models (LLMs). Although LLMs exhibit unprecedented information provision capabilities, they inherently suffer from hallucinations, which is an unavoidable limitation. Retrieval-augmented generation (RAG) is a promising approach to...

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Literature Corpus work
9e11f783-7008-53b4-8db1-5a7813a3be07
DOI
10.21203/rs.3.rs-7360068/v1
Open publication

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Adapting bioinformatics data systems in the era of foundational models: leveraging retrieval-augmented generation and low-resource large language modelsDOI 10.21203/rs.3.rs-7360068/v1
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