Are Re-Ranking in Retrieval-Augmented Generation Methods Impactful for Small Agriculture QA Datasets? A Small Experiment
Agriculture requires accurate, location-specific information that would need the power of advanced Retrieval-Augmented Generation (RAG) models. To this end, we perform an experimental analysis on how integrating re-ranking strategies and in-memory computing into RAG models might affect performance o...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/18/bioconf_icosia2024_01001.pdf |
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