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POST
/
api
/
embed
curl http://localhost:11434/api/embed -d '{
  "model": "embeddinggemma",
  "input": "Why is the sky blue?"
}'
{
  "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
}

Documentation Index

Fetch the complete documentation index at: https://docs.ollama.com/llms.txt

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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

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