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README.md
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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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