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README.md
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`mdbr-leaf-ir` is a compact high-performance text embedding model specifically designed for **information retrieval (IR)** tasks, e.g., the retrieval part of RAGs.
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If you are looking to perform other tasks such as classification, clustering, semantic sentence similarity, summarization, please check out our [`mdbr-leaf-mt`](https://huggingface.co/MongoDB/mdbr-leaf-mt) model.
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> [!Note]
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> this model is the result of MongoDB Research's ML team. At the time of writing it is not used in any of MongoDB's commercial product or service offerings.
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A technical report detailing our proposed `LEAF` training procedure is [available here (TBD)](http://FILL_HERE_ARXIV_LINK).
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# Introduction
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`mdbr-leaf-ir` is a compact high-performance text embedding model specifically designed for **information retrieval (IR)** tasks, e.g., the retrieval part of RAGs.
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If you are looking to perform other tasks such as classification, clustering, semantic sentence similarity, summarization, please check out our [`mdbr-leaf-mt`](https://huggingface.co/MongoDB/mdbr-leaf-mt) model.
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> [!Note]
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> **Note**: this model is the result of MongoDB Research's ML team. At the time of writing it is not used in any of MongoDB's commercial product or service offerings.
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# Technical Report
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A technical report detailing our proposed `LEAF` training procedure is [available here (TBD)](http://FILL_HERE_ARXIV_LINK).
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