BatchedEmbed creates embeddings for the given input texts, batching them into batches of batchSize if needed.

BatchTexts splits strings by the length batchSize.

NewEmbedder creates a new Embedder from the given EmbedderClient, with some options that affect how embedding will be done.

WithBatchSize is an option for specifying the batch size.

WithStripNewLines is an option for specifying the should it strip new lines.

ErrAllTextsLenZero is returned if all texts to be embedded has the combined length of zero.

ErrVectorsNotSameSize is returned if the vectors returned from the embeddings api have different sizes.

Embedder is the interface for creating vector embeddings from texts.

EmbedderClient is the interface LLM clients implement for embeddings.

EmbedderClientFunc is an adapter to allow the use of ordinary functions as Embedder Clients.