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Langchain-Chatchat向量检索方式 #4021
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Langchain-Chatchat utilizes vector retrieval for indexing local knowledge and converting questions into vectors, aiming to meet semantic search requirements. It doesn't explicitly mention the use of inverted indexing or vector recall methods in the documentation. However, the configuration
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@dosu, 根据问题#3563的回答,现在是不支持多路检索/多路召回吗? |
Langchain-Chatchat currently supports multi-path retrieval/recall as indicated by its configuration to retrieve the top 3 most similar vectors for a given query. This setup allows the system to consider multiple potential matches, enhancing the relevance and accuracy of search results. The As for the upcoming 0.3 version and specific plans regarding the implementation or improvement of multi-path retrieval/recall, there's no publicly documented information available in the repository. For more detailed insights or future plans about multi-path retrieval/recall in Langchain-Chatchat, it might be beneficial to directly reach out to the maintainers. @zrzrzrzrzrzrzrzr, could you provide more details on whether multi-path retrieval/recall will be supported or enhanced in the upcoming 0.3 version?
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有点好奇Langchain-chatchat 的向量检索方式。
方法上,在程序中是采用倒排召回还是向量召回?
过程中,使用的是单路召回还是多路召回?
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