Vector Similarity Python Packages

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.

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.

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.

cuvs-cu12

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

libcuvs-cu12

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

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.

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.

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)

vectorai-nightly

A Python framework for building vector based applications. Encode, query and analyse data using vectors.

libcuvs-cu13

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

pyreindexer

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

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.

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)

cuvs-cu13

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

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.

vectorai

A Python framework for building vector based applications. Encode, query and analyse data using vectors.

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.

cuvs-cu11

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

raft-dask-cu11

Reusable Accelerated Functions & Tools Dask Infrastructure

libcuvs-cu11

cuVS: Vector Search on the GPU (C++)

libraft-cu11

RAFT: Reusable Algorithms Functions and other Tools (C++)

factorweave

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