So, based on the emphasis on "retrieval" in the blog title, are these models narrowly focused on retrieval tasks only? E.g. I shouldn't use them for clustering, STS, and so on?

How does voyage-3.5 compare against Gemini Embedding (GE)? I thought GE had top spot for retrieval tasks on MMTEB. Is Voyage saying here that voyage-3.5 now has the top spot? Or is it just that, for the 10 specified datasets, voyage-3.5 outperforms the specified OpenAI and Cohere models.