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"
POST /rerankGET /health