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--- |
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license: apache-2.0 |
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datasets: |
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- truro7/vn-law-questions-and-corpus |
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language: |
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- vi |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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base_model: hiieu/halong_embedding |
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pipeline_tag: sentence-similarity |
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library_name: sentence-transformers |
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tags: |
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- legal |
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--- |
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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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--- |
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license: apache-2.0 |
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--- |
