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AI · September 16, 2021

Embeddinghub: A vector database built for Machine Learning embeddings

The Virtual Feature Store. Turn your existing data infrastructure into a feature store. - featureform/featureform

Embeddinghub: A vector database built for Machine Learning embeddings launched on September 16, 2021 with 118 votes, #324 of 2,941 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 5 years on.

Visit github.com ↗Alternativestop 11% of September 2021

In plain words

Embeddinghub is a vector database designed to store and manage machine learning embeddings. Built for developers and data scientists working with AI models, it provides a specialized system for handling high-dimensional vector data. The product launched in 2021 and is available as open-source software on GitHub, making it accessible for teams that need to organize and query embedding data efficiently within their machine learning workflows.

written from the facts on this page · September 2026

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