bgokden/veri

Scalable Feature Store

34
/ 100
Emerging

Veri helps machine learning engineers and data scientists efficiently manage and query large collections of numerical data, often called feature vectors. It takes in these vectors and their associated labels, allowing you to quickly find the most similar data points for tasks like building recommendation engines or search functions. The primary output is a list of the 'nearest neighbor' data points, based on their features.

No commits in the last 6 months.

Use this if you need a scalable and distributed system to store and query high-dimensional feature vectors for machine learning, especially for real-time similarity search or recommendations.

Not ideal if you need strict transactional guarantees, traditional relational database functionalities, or precise, exact results for every query, as Veri prioritizes speed and probabilistic similarity over absolute data consistency.

machine-learning-engineering feature-management recommendation-systems similarity-search data-science-infrastructure
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

54

Forks

5

Language

Go

License

Apache-2.0

Category

go-ml-bindings

Last pushed

Jul 05, 2023

Commits (30d)

0

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