Comments (1)
The langchain library advises to install faiss via pip install, however, the faiss library (us) do not support installs via pip (even when it is possible). In order to see whether this problem comes from the core faiss library, I would recommend first to create a clean conda environment and install faiss via conda as per the INSTALL.md therein. Otherwise, please post your issue in the langchain git repo : https://github.com/langchain-ai/langchain
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Related Issues (20)
- Creating an array of faiss.Kmeans objects that uses gpu HOT 6
- OnDisk IVF and GPU Search memory issue HOT 2
- Merging indices with IDMap2
- The IVFPQ index has inconsistent memory usage when performing search operations. HOT 2
- Wheather the memory, used during search operation , can be freed ? HOT 2
- Merge or Add data into "ondisk" indices corrupts index ids HOT 2
- faiss-gpu buiild fails on windows 11
- legal issue
- Opening up SearchParameters for IndexBinaryHNSW and IndexBinaryIVF HOT 3
- Extra Memory add_with_ids HOT 2
- make failure on mac - ld: Undefined symbols:
- Fais-cpu fails to build with swig HOT 3
- SearchParametersIVF does not seem to work with IndexHNSWFlat HOT 1
- Faiss assertion 'err == CUBLAS_STATUS_SUCCESS' failed in void faiss::gpu::runMatrixMult(faiss::gpu::Tensor<float, 2, true>&, bool, faiss::gpu::Tensor<T, 2, true>&, bool, HOT 1
- jaccard metric prob HOT 7
- Faiss compatibility with NumPy 2 (ImportError: numpy.core.multiarray failed to import) HOT 6
- faiss + torch.dist: unable to utilize multiple GPU HOT 4
- Build error on Faiss due to missing #includes
- How does the ivfflat index use search_preassigned HOT 1
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