Lei Shen
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update README
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README.md
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* @Author: shenlei
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* @Modified: linhui
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* @Date: 2023-12-19 10:31:41
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* @LastEditTime: 2024-01-
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* @LastEditors: shenlei
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<h1 align="center">BCEmbedding: Bilingual and Crosslingual Embedding for RAG</h1>
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2、RAG优化,适配更多真实业务场景;
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3、方便集成进langchain和llamaindex。
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***NOTE:***
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- In `WithoutReranker` setting, our `bce-embedding-base_v1` outperforms all the other embedding models.
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欢迎大家扫码加入官方微信交流群。
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## ✏️ Citation
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* @Author: shenlei
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* @Modified: linhui
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* @Date: 2023-12-19 10:31:41
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* @LastEditTime: 2024-01-09 23:52:00
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* @LastEditors: shenlei
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<h1 align="center">BCEmbedding: Bilingual and Crosslingual Embedding for RAG</h1>
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2、RAG优化,适配更多真实业务场景;
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3、方便集成进langchain和llamaindex。
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-----------------------------------------
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<details open="open">
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#### 1. Multiple Domains Scenarios
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***NOTE:***
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- In `WithoutReranker` setting, our `bce-embedding-base_v1` outperforms all the other embedding models.
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欢迎大家扫码加入官方微信交流群。
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## ✏️ Citation
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assets/Wechat.jpg
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assets/rag_eval_multiple_domains_summary.jpg
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