Comments (3)
Hello,
I don't think that NGT can be replaced by QG/QBG because they have different pros and cons. But in any case, I am going to implement python functions to build QG/QBG indices in the future. I can't say for sure when.
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from ngt.
To be sure, in my last comment, NGT means not NGTQ nor neither NGTQG but the basic graph-based index.
QBG places the quantized dataset instead of the entire dataset in memory and supports only L2. However, I am going to add an option to place the entire dataset in memory and cosine similarity in the near future. This option is available only for sufficient memory.
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Related Issues (20)
- How to create a QBG with Capi ? HOT 7
- Specify num_threads for searching HOT 3
- Linking issue HOT 2
- Add more ngt_insert_index_as_TYPE methods to C API HOT 2
- Feature request: Command line output option that doesn't require intensive deserialization
- Add new QBG methods to C API HOT 7
- Is there any benchmark result for NGT QG/QBG? HOT 4
- file descriptor leak on `index.build_index` HOT 2
- Missing functions and types in the C API HOT 14
- bugs HOT 3
- Fixed seeds for deterministic results HOT 1
- Building with -DNGT_QBG_DISABLED=ON still trying to link with LAPACK and BLAS HOT 2
- How to update NGT from older version to new one? HOT 2
- pip install in python==3.11 fails : could not find a version that satisfies HOT 4
- Running sample codes (e.g., qg-l2-float) HOT 6
- Remove vector causes error, only for "Normalised" distance types: Index.h:remove:1544: Not found the specified id HOT 7
- Quantization in qg-l2-float.cpp HOT 1
- colab import ngt dose not work HOT 1
- Paper and references for QG HOT 1
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