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# VN Law Embedding
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VN Law Embedding is a Vietnamese text embedding model designed for Retrieval-Augmented Generation (RAG), specifically to retrieve precise legal documents in response to legal questions.
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The model is trained on a dataset of Vietnamese legal questions and corresponding legal documents and evaluated using an Information Retrieval Evaluator.
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It uses Matryoshka loss during training and can be truncated to smaller dimensions, allowing for faster comparisons between queries and documents without sacrificing performance.
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license: apache-2.0
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datasets:
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license: apache-2.0
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license: apache-2.0
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datasets:
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---
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# VN Law Embedding
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+
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VN Law Embedding is a Vietnamese text embedding model designed for Retrieval-Augmented Generation (RAG), specifically to retrieve precise legal documents in response to legal questions.
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+
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+
The model is trained on a dataset of Vietnamese legal questions and corresponding legal documents and evaluated using an Information Retrieval Evaluator.
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+
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It uses Matryoshka loss during training and can be truncated to smaller dimensions, allowing for faster comparisons between queries and documents without sacrificing performance.
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---
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license: apache-2.0
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