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- 最新bce-embedding-base_v1相关信息,以及更多MTEB和RAG相关评测细节,请移步(The latest "Updates" should be check in):
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  <a href="https://github.com/netease-youdao/BCEmbedding">GitHub</a>
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  - 方便集成进langchain和llamaindex(Easy integrations for langchain and llamaindex in <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>)。
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  - `EmbeddingModel`不需要“精心设计”instruction,尽可能召回有用片段。
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- ## News
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  - `BCEmbedding`技术博客( **Technical Blog** ): [为RAG而生-BCEmbedding技术报告](https://zhuanlan.zhihu.com/p/681370855)
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  - Related link for **RerankerModel** : [bce-reranker-base_v1](https://huggingface.co/maidalun1020/bce-reranker-base_v1)
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  ![image/jpeg](assets/rag_eval_multiple_domains_summary.jpg)
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+ 最新、最详细的bce-embedding-base_v1相关信息,请移步(The latest "Updates" should be checked in):
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  <p align="left">
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  <a href="https://github.com/netease-youdao/BCEmbedding">GitHub</a>
 
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  - 方便集成进langchain和llamaindex(Easy integrations for langchain and llamaindex in <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>)。
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  - `EmbeddingModel`不需要“精心设计”instruction,尽可能召回有用片段。
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+ ## News:
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  - `BCEmbedding`技术博客( **Technical Blog** ): [为RAG而生-BCEmbedding技术报告](https://zhuanlan.zhihu.com/p/681370855)
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  - Related link for **RerankerModel** : [bce-reranker-base_v1](https://huggingface.co/maidalun1020/bce-reranker-base_v1)
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+ ## Third-party Examples:
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+ - RAG applications: [QAnything](https://github.com/netease-youdao/qanything), [HuixiangDou](https://github.com/InternLM/HuixiangDou), [ChatPDF](https://github.com/shibing624/ChatPDF).
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+ - Efficient inference framework: [ChatLLM.cpp](https://github.com/foldl/chatllm.cpp), [Xinference](https://github.com/xorbitsai/inference).
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  ![image/jpeg](assets/rag_eval_multiple_domains_summary.jpg)
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