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AI · September 30, 2021

Embeddinghub

An open-source database for machine learning

Embeddinghub launched on September 30, 2021 with 118 votes, #324 of 2,941 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.

Visit github.com ↗Embeddinghub alternativestop 11% of September 2021

What it does

Embeddinghub is an open-source vector database for machine learning embeddings. Most modern machine learning is built atop embeddings, and Embeddinghub is built from the ground up to get your ML models out of the lab and into production.

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

Does a similar job

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  • Embeddinghub: A vector database built for Machine Learning embeddings2021 · github.com · ▲118

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

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  • Google EmbeddingGemma 215d ago · blog.google · ▲318

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  • HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

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