Mistral AI

Create Embeddings

Develop Env

https://dev.your-api-server.com

POST

/embeddings

Request Example

Shell

JavaScript

Java

Swift

curl --location --request POST 'https://dev.your-api-server.com/embeddings' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "mistral-embed",
    "input": [
        "Hello",
        "world"
    ],
    "encoding_format": "float"
}'

Response Example

{
    "id": "embd-aad6fc62b17349b192ef09225058bc45",
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "embedding": [
                0.1,
                0.2,
                0.3
            ],
            "index": 0
        },
        {
            "object": "embedding",
            "embedding": [
                0.4,
                0.5,
                0.6
            ],
            "index": 1
        }
    ],
    "model": "string",
    "usage": {
        "prompt_tokens": 9,
        "total_tokens": 9
    }
}

Request

Body Params application/json

model

string

optional

The ID of the model to use for this request.

Example:

mistral-embed

input

array[string]

optional

The list of strings to embed.

Example:

["Hello","world"]

encoding_format

enum<string>

optional

The format of the output data.

Allowed value:

float

Example:

float

Examples

Responses

🟢200OK

application/json

Body

string

required

Example:

embd-aad6fc62b17349b192ef09225058bc45

object

string

required

Example:

list

data

array [object {3}]

required

Example:

[{"object":"embedding","embedding":[0.1,0.2,0.3],"index":0},{"object":"embedding","embedding":[0.4,0.5,0.6],"index":1}]

object

string

optional

Example:

embedding

array[number]

optional

Example:

[0.1,0.2,0.3]

index

optional

Example:

model

string

required

usage

object

required

prompt_tokens

integer

required

Example:

total_tokens

integer

required

Example:

Modified at 11 months ago

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