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Knowhere is an open-source vector search engine, integrating FAISS, HNSW, etc.

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https://github.com/zilliztech/knowhere/blob/main/src/common/utils.cc#L75-L87 completely eliminate this function! Put it inside `.train()` calls

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Update Cardinal Commit Signed-off-by: sre-ci-robot [email protected]

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**Description:** While integrating Codecov with our CI pipeline via GitHub Actions, we encountered an error during the upload process. The error indicates a failure in fetching the storage URL, suggesting...

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Hello, Everyone! I want to use the package pyknowhere. I followed github's [guide](https://github.com/zilliztech/knowhere) and successfully compiled the package, and after the installation was successful, it still prompted that the python...

get ready for binary vector support(some of the features already implemented, just make sure), users could insert and search binary vectors as float vectors do - [ ] Binary FLAT/IVFFLAT/HNSW...

Hello Everyone! I want to build the knowhere from the source code in CentOS 7. I want to install the pyknowhere package. I've successfully built milvus but still can't get...

Intel AMX accelerator provides powerful parallel computing capabilities that can be used to accelerate the Faiss Inner Product algorithm.

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Fails for both gcc and clang. I suspect that linker flags are not set properly. The simplest way is to test it with vector db bench. for gcc: currently, it...

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