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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 component of Retrieval-Augmented Generation (RAG) pipelines.
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  To enable even greater efficiency, `mdbr-leaf-ir` supports [flexible asymmetric architectures](#asymmetric-retrieval-setup) and is robust to [vector quantization](#vector-quantization) and [MRL truncation](#mrl-truncation).
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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 stage of Retrieval-Augmented Generation (RAG) pipelines.
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  To enable even greater efficiency, `mdbr-leaf-ir` supports [flexible asymmetric architectures](#asymmetric-retrieval-setup) and is robust to [vector quantization](#vector-quantization) and [MRL truncation](#mrl-truncation).
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