[mritchie712]

The only reason I can see for this is to create lock-in. I'd be pretty surprised if anymore than 5% of their customers would want a model by pinecone.

[gdj0nes]

We trained a sparse embedding model because there is a lack of commercially licensed weights or APIs. For any proprietary model, particularly embeddings, there is a degree of lock-in.