RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models
Paper
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2409.02685
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Published
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1
We introduce RouterRetriever, a retrieval model that leverages a mixture of domain-specific experts by using a routing mechanism to select the most appropriate expert for each query.
Models are trained and evaluated with datasets in https://huggingface.co/BeIR
Please refer to the Github repository for detailed usage examples.
If you find the following model helpful, please consider citing our paper!
@article{Lee2024RouterRetrieverET,
title={RouterRetriever: Routing over a Mixture of Expert Embedding Models},
author={Hyunji Lee and Luca Soldaini and Arman Cohan and Minjoon Seo and Kyle Lo},
journal={AAAI},
year={2025},
url={https://api.semanticscholar.org/CorpusID:272398087}
}
Base model
facebook/contriever