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## VectorDB 특징
- AI 어플리케이션들은 Vector Embeddings에 의존
* 임베딩은 AI 모델에 의해 생성되며, 많은 수의 속성/피쳐가 있어서 관리하기가 어려움
* AI 및 ML에서 이 피쳐들은 패턴, 관계 및 기본 구조를 이해하는데 필수적인 데이터의 다양한 디멘젼들을 표현
- Pinecone 같은 벡터DB는…
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When learning an embedding with `UMAP(min_dist=0.0, n_neighbors=100).fit(data)`, `SpectralEmbedding` warns
```UserWarning: Graph is not fully connected, spectral embedding may not work as expected.…
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A test `test_ivfflat_wide_matrix` added by https://github.com/NVIDIA/spark-rapids-ml/pull/691 failed in CI:
```
[2024-07-25T05:29:20.685Z] =========================== short test summary info =====…
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SIFT is patented and makes using Bundler difficult for real world purposes. Would it be straightforward to replace SIFT with, for example, AKAZE from OpenCV?
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I was interested in actually performing some calculations using NLCE for some future work and I figured it would be nice to actually work this into QuSpin. The nice thing is that it would require almo…
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I've run flann_example_c with the datasets specified in examples/README on x86 and ARM machines obtaining different results.
here are the md5 checksums of the input datasets:
7baf14b6fdcb6c3808f6800…
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| Feature\Library | kdtree2 | [coretran](https://github.com/leonfoks/coretran/) | [fortran-kdtree](https://github.com/dongli/fortran-kdtree) | [cKDTree (Scipy)](https://docs.scipy.org/do…
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Inspiration is taken from how git packs achieve high compression rates with good random access performance. The 2 key components are (1) a clustering strategy to store similar objects together and (2)…
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First, thanks for putting such a great project together!
I'm having trouble with the transform method. I'm training on TFIDF vectors from a large set of text data (>100k rows, 20k features), of ty…
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We should track method performance using a benchmark suite like @alimanfoo mentioned in https://github.com/pystatgen/sgkit/pull/36#issuecomment-658893949.
It would be ideal if this ran as a part …