private Tensor embed(String input, TensorType targetType, ExecutionContext context) {
        return embedder.component().embed(input,
                                          new Embedder.Context(destination, context.getCache()).setLanguage(context.resolveLanguage(linguistics))
                                                                                               .setEmbedderId(embedder.id()),
                                          targetType);
    }
@return the requested embedder id. This will diverge from the selected embedder's id when executed in config-model
indexinglanguage/src/main/java/com/yahoo/vespa/indexinglanguage/expressions/EmbedExpression.java