OEmbeddings - What is the least amount of metadata necessary for shared vector embeddings?

This is a blog post describing a proposal for a set of common attributes to include with shared vector embeddings. These common attributes are meant to be the least amount of metadata necessary to provide a simple preview and suitable attribution for the item (an image or text) for which vector embeddings have been produced.

This is a blog post by aaron cope. It was published on April 15, 2026 and tagged roboteyes, machine-learning, collection, oembeddings, embeddings, golang and parquet.

Shared cross-institutional vector embeddings – how we might get there

We are proposing a simple‑is‑best approach to sharing vector embeddings of our collections, a step that moves us closer to realizing the long‑standing ‘holy grail’ of cross‑institutional collections search through vector‑based image similarity.”

This is a blog post by aaron cope. It was published on April 06, 2026 and tagged roboteyes, machine-learning, collection, duckdb, golang, parquet and embeddings.