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MIRACLE - Medical Information Retrieval using Clinical Language Embeddings for Retrieval Augmented Generation at the point of care

2024-12-18

Abstract excerpt

<title>Abstract</title> <p>Most sentence transformer models have been trained in English on publicly accessible datasets. Integration of these models into Retrieval Augmented Generation systems is limited in terms of their ability to retrieve relevant patient-related information. In this study, multiple embedding models were fine-tuned on approximately eleven million question and chunk pairs from 400,000 document...

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Literature Corpus work
51b76f63-cfb0-5bbd-ab59-2393374d5212
DOI
10.21203/rs.3.rs-5453999/v1
Open publication

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MIRACLE - Medical Information Retrieval using Clinical Language Embeddings for Retrieval Augmented Generation at the point of careDOI 10.21203/rs.3.rs-5453999/v1
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