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Vector Similarity Python Packages

Python packages with the GitHub topic vector-similarity. Sorted by monthly downloads, with stars and forks.
rapidsai
libraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

220K 1K 252
rapidsai
pylibraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

218K 1K 252
nvidia
libcuvs-cu12

cuVS - a library for vector search and clustering on the GPU

49K 864 241
rapidsai
raft-dask-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

47K 1K 252
nvidia
cuvs-cu12

cuVS - a library for vector search and clustering on the GPU

32K 864 241
rapidsai
libraft-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

25K 1K 252
rapidsai
pylibraft-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

25K 1K 252
nvidia
libcuvs-cu13

cuVS - a library for vector search and clustering on the GPU

19K 864 241
nvidia
cuvs-cu13

cuVS - a library for vector search and clustering on the GPU

10K 864 241
Restream
pyreindexer

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

5K 812 60
rapidsai
raft-dask-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

2K 1K 252
vector-ai
vectorai-nightly

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

2K 325 41
vector-ai
vectorhub-nightly

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

2K 559 55
rapidsai
pylibraft-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

676 1K 252
rapidsai
raft-dask-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

615 1K 252
vector-ai
vectorhub

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

593 559 55
rapidsai
cuvs-cu11

cuVS - a library for vector search and clustering on the GPU

586 866 241
rapidsai
libraft-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

414 1K 252
rapidsai
libcuvs-cu11

cuVS - a library for vector search and clustering on the GPU

405 866 241
vector-ai
vectorai

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

259 325 41
Blazing-Customs
factorweave

Public tooling for the Factor Weave quant-factor data API — Python SDK (pip install factorweave) + Google Sheets add-on + integration recipes.

194 2 0
michael-borck
lens-embed

Provides shared embedding models for the lens family, enabling direct comparison of vectors across text and image modalities through a unified vector space.

101 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology