Documentation / @agentick/apple / appleEmbedding
Function: appleEmbedding()
appleEmbedding(
config?):EmbeddingModel
Defined in: embedding.ts:44
Create an Apple on-device embedding model.
Uses NLContextualEmbedding under the hood — mean-pooled token vectors producing a single vector per input text.
Parameters
config?
AppleEmbeddingConfig = {}
Returns
EmbeddingModel
Example
typescript
const embedder = appleEmbedding({ script: "latin" });
const { embeddings } = await embedder.embed({ input: ["machine learning"] });
console.log(embeddings[0].length); // 512