Foundation Models Embedding API, REST: Embeddings.TextEmbedding
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Updated at August 8, 2025
A method for obtaining embeddings from text data.
HTTP request
POST https://llm.api.cloud.yandex.net/foundationModels/v1/textEmbedding
Body parameters
{
"modelUri": "string",
"text": "string",
"dim": "string"
}
Request for the service to obtain text embeddings.
|
Field |
Description |
|
modelUri |
string The model URI to be used for obtaining text embeddings. |
|
text |
string The input text for which the embedding is requested. |
|
dim |
string (int64) Optional parameter to specify embedding dimension for models that support multi-dimensional outputs |
Response
HTTP Code: 200 - OK
{
"embedding": [
"string"
],
"numTokens": "string",
"modelVersion": "string"
}
Response containing generated text embedding.
|
Field |
Description |
|
embedding[] |
string A repeated list of double values representing the embedding. |
|
numTokens |
string (int64) The number of tokens in the input text. |
|
modelVersion |
string The model version changes with each new releases. |