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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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  # Evaluation
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- Please refer to this <span style="color:red">TBD</span> script to replicate results.
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  The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-ir/commit/ea98995e96beac21b820aa8ad9afaa6fd29b243d). The current model has been trained further to achieve higher scores.
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  # Citation
 
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+ # Content
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+ 1. [Introduction](#introduction)
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+ 2. [Technical Report](#technical-report)
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+ 3. [Highlights](#highlights)
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+ 4. [Quickstart](#quickstart)
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+ 5. [Citation](#citation)
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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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  # Evaluation
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  The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-ir/commit/ea98995e96beac21b820aa8ad9afaa6fd29b243d). The current model has been trained further to achieve higher scores.
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  # Citation