ClovisEmbeddings
A model that transforms text into semantic vectors (embeddings). Used for semantic search, similarity, clustering, and vector indexing in RAG pipelines.
Capacités
EntréeCe que vous pouvez envoyer
ContentText or a batch of texts
Accepted formatsTextList of texts
SortieCe que le modèle produit
Vector size1,024 dimensions
Output formatsFloatBase64
Batch processingYes
Billed tokensInput only