Good luck to anyone using it. We used it for embedding about 6k documents.

The API constantly gives you quota errors when you reach about 150 requests/min eventhough the quota should allow about 50_000 requests/min.

We’d like to use the Batch API, but the model isn’t available yet.

Quite a nice model though. Being able to get embeddings for a specific task type [1] is very interesting. We used classification specific embeddings and noticed a meaningful improvment when we used the embeddings as input for a classifier.

1: https://ai.google.dev/gemini-api/docs/embeddings#supported-t...