Comments (2)
shenlei1020
commented on June 25, 2024
langchain对reranker的支持不如llamaindex，所以集成进langchain的reranker接口由BCEmbedding这个python包提供，解决方案：
1、你需要安装本repository：pip install BCEmbedding==0.1.3
2、按照这个样例来调用：https://github.com/netease-youdao/BCEmbedding?tab=readme-ov-file#1-used-in-langchain
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whosyourdadds
commented on June 25, 2024
langchain对reranker的支持不如llamaindex，所以集成进langchain的reranker接口由BCEmbedding这个python包提供，解决方案： 1、你需要安装本存储库：pip install BCEmbedding==0.1.3 2、按照这个样例来调用：https://github.com/netease-youdao/BCEmbedding?tab=readme-ov-file#1-used-in-langchain
我使用的就是这段样例,同时也安装了相关的依赖包. 似乎是我的环境导致的,前一天还没报错
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Related Issues (20)
- 表格支持 HOT 1
- BCE Fine tuning HOT 4
- 用Langchain0.1.13遇到问题TypeError: sentence_transformers.SentenceTransformer.SentenceTransformer.encode() got multiple values for keyword argument 'show_progess_bar' HOT 1
- llamaindex集成两个模型回答超时 HOT 4
- 长度 HOT 5
- 想问一下关于评测的内容。 HOT 1
- 请问近期有没有支持Apple M Silicon系列芯片的GPU加速计划？ HOT 1
- BCEembedding max_length HOT 1
- 关于推理加速问题。 HOT 4
- Request for non-NVIDIA GPU compatibility HOT 2
- 如何在ollama中使用BCEmbedding模型？ HOT 2
- 提问：如何 benchmark bce reranker （bce-reranker-base_v1） 在对日语的reranker能力 HOT 3
- QAnything和这个模型库的对应关系？ HOT 2
- 可以提供一下复现llamaindex结果的数据么， HOT 2
- 测试“Embedding和Reranker集成常用RAG框架”中的样例代码1 HOT 2
- 使用gpu就会崩溃 HOT 4
- 关于模型微调的问题 HOT 1
- 使用 langchain 调用程序报错 HOT 2
- pydantic版本问题 HOT 1
- 下载 tokenizer 时不能指定 auth token HOT 2
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