Text Embedding 3 Small

Developer documentation

Text Embedding 3 Small

Text Embedding 3 Small for semantic search, retrieval, ranking, and vector analytics.

Model Reference

Embedding models

Vector generation for semantic search, RAG, retrieval, clustering, ranking, and analytics. Endpoint: https://omixa.cloud/api/v1/embeddings

Text Embedding 3 Small

text-embedding-3-small

Text Embedding 3 Small for semantic search, retrieval, ranking, and vector analytics.

Embedding Context window: 8,191 tokens

Input per 1m tokens $0.022000

Minimum hold $0.010000

Integration reference

Connect Text Embedding 3 Small

Use Omixa's unified endpoint and your workspace API key. Provider routing, billing, failover, and usage records are handled by Omixa.

POST https://omixa.cloud/api/v1/embeddings

Provider: azure-openai
Endpoint type: azure_openai_v1_embeddings
Context window: 8,191 tokens

Request schema

Request fields

Only send options supported by this model. Required fields and accepted values are listed below.

Field	يكتب	Required	Accepted values	وصف
`model`	string	Yes	text-embedding-3-small	Use `text-embedding-3-small`. Omixa resolves the active provider route and failover key automatically.
`input`	string\|array	Yes	Any valid value	Text or array of texts to embed.
`dimensions`	integer	No	Any valid value	Output vector dimensions for models that support truncation.
`encoding_format`	string	No	float, base64	OpenAI-compatible embedding encoding.
`user`	string	No	Any valid value	Optional end-user identifier for audit or provider policy forwarding.

Ready to send

Payload and response

Start with this model-safe payload and expect the normalized Omixa response shape shown beside it.

Example JSON payload

{
    "model": "text-embedding-3-small",
    "input": "Customer support knowledge base paragraph.",
    "dimensions": 1024
}

Response shape

{
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "embedding": [
                0.0123,
                -0.0456
            ],
            "index": 0
        }
    ],
    "usage": {
        "prompt_tokens": 12,
        "total_tokens": 12
    }
}

Language examples

Copy-ready integration code

Replace the example API key with a workspace key and keep model-specific fields unchanged unless the table above marks them optional.

curl -X POST https://omixa.cloud/api/v1/embeddings \
  -H "Authorization: Bearer omx_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "Customer support knowledge base paragraph.",
    "dimensions": 1024
}'

const response = await fetch('https://omixa.cloud/api/v1/embeddings', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer omx_live_xxx',
    'Content-Type': 'application/json'
  },
  body: "{\n    \"model\": \"text-embedding-3-small\",\n    \"input\": \"Customer support knowledge base paragraph.\",\n    \"dimensions\": 1024\n}"
});
const data = await response.json();

import requests

response = requests.post(
    'https://omixa.cloud/api/v1/embeddings',
    headers={'Authorization': 'Bearer omx_live_xxx', 'Content-Type': 'application/json'},
    json={
    "model": "text-embedding-3-small",
    "input": "Customer support knowledge base paragraph.",
    "dimensions": 1024
}
)
print(response.json())

$ch = curl_init('https://omixa.cloud/api/v1/embeddings');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => ['Authorization: Bearer omx_live_xxx', 'Content-Type: application/json'],
    CURLOPT_POSTFIELDS => '{
    "model": "text-embedding-3-small",
    "input": "Customer support knowledge base paragraph.",
    "dimensions": 1024
}',
    CURLOPT_RETURNTRANSFER => true,
]);
$response = curl_exec($ch);

using var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", "omx_live_xxx");
var json = @"{
    ""model"": ""text-embedding-3-small"",
    ""input"": ""Customer support knowledge base paragraph."",
    ""dimensions"": 1024
}";
var response = await client.PostAsync("https://omixa.cloud/api/v1/embeddings", new StringContent(json, System.Text.Encoding.UTF8, "application/json"));
var body = await response.Content.ReadAsStringAsync();

payload := []byte(`{
    "model": "text-embedding-3-small",
    "input": "Customer support knowledge base paragraph.",
    "dimensions": 1024
}`)
req, _ := http.NewRequest("POST", "https://omixa.cloud/api/v1/embeddings", bytes.NewReader(payload))
req.Header.Set("Authorization", "Bearer omx_live_xxx")
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)

Production checklist

Operational notes

Authenticate with `Authorization: Bearer omx_live_xxx`.
Omixa handles provider keys, routing, billing, failover, and usage recording behind this endpoint.