Generate embeddings

{ "model": "embeddinggemma", "embeddings": [ [ 0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814, 0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348 ] ], "total_duration": 14143917, "load_duration": 1019500, "prompt_eval_count": 8 }

Body

application/json

model

string

required

Model name

input

required

Text or array of texts to generate embeddings for

truncate

boolean

default:true

If true, truncate inputs that exceed the context window. If false, returns an error.

dimensions

integer

Number of dimensions to generate embeddings for

keep_alive

string

Model keep-alive duration

options

object

Runtime options that control text generation

Show child attributes

Response

200 - application/json

Vector embeddings for the input text

model

string

Model that produced the embeddings

embeddings

number[][]

Array of vector embeddings

total_duration

integer

Total time spent generating in nanoseconds

load_duration

integer

Load time in nanoseconds

prompt_eval_count

integer

Number of input tokens processed to generate embeddings

API Reference

Endpoints

Generate embeddings

Body

Response