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Generating an embedding from a dense embedding model
inputs
string | string[]
required
Inputs that need to be embedded
normalize
boolean
default:"true"
prompt_name
string
The name of the prompt that should be used by for encoding. If not set, no prompt will be applied.Must be a key in the sentence-transformers configuration prompts dictionary.For example if prompt_name is “doc” then the sentence “How to get fast inference?” will be encoded as “doc: How to get fast inference?” because the prompt text will be prepended before any text to encode.
truncate
boolean
default:"false"
Automatically truncate inputs that are longer than the maximum supported size
truncate_direction
"right" | "left"
default:"right"