New embedding models and API updates

AI Impact Summary

The update introduces new embedding models alongside accompanying API changes, enabling higher-quality vector representations and potential efficiency gains. Applications that rely on embeddings for similarity search, recommendations, or NLP tasks should benchmark the new models against current outputs to assess quality and compatibility. Teams should plan to update client libraries, adapt to any changed endpoints or parameters, and prepare a staged migration with monitoring for latency and cost implications.