Contextual embedding in RavenDB (or how to save 220,000,000 USD)

This site does not allow itself to be embedded. You can still read it on the original site — the toolbar below keeps your place in the directory.

A while ago, MongoDB purchased VoyageAI for 220 million dollars . Since then, they have released a couple of dedicated embedding models. For example, you can read their blog post on voyage-context-4 . The key premise in those sorts of models is that you can feed the model text of any size, and it will automatically handle generating embedding vectors, smart chunking, providing context, etc. I ran…

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