API Reference
Create Sparse Embedding
Get sparse embeddings. Returns a 424 status code if the model is not a SPLADE embedding model
Generating an embedding from a sparse embedding model. The main ones that we support are SPLADE models.
inputs
string | string[]
requiredInputs that need to be embedded
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"