Embed texts
curl --request POST \
--url https://api.conare.ai/embed \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": [
"how do refunds work?"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({input: ['how do refunds work?']})
};
fetch('https://api.conare.ai/embed', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.conare.ai/embed"
payload = { "input": ["how do refunds work?"] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"embeddings": [
[
123
]
],
"model": "<string>",
"dimensions": 123,
"scales": [
123
],
"output_dtype": "int8"
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}Моделі
Embed texts
Returns one vector per input; set type: query for search queries, document for stored text.
- A text is read up to its first 6,000 characters and 2,048 tokens; the rest is silently ignored, so split longer texts.
output_dtype: int8returns int8 values and one scale per vector (vector ≈ values × scale); cosine on the values is unchanged.
POST
https://api.conare.ai
/
embed
Embed texts
curl --request POST \
--url https://api.conare.ai/embed \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"input": [
"how do refunds work?"
]
}
'const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({input: ['how do refunds work?']})
};
fetch('https://api.conare.ai/embed', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.conare.ai/embed"
payload = { "input": ["how do refunds work?"] }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"embeddings": [
[
123
]
],
"model": "<string>",
"dimensions": 123,
"scales": [
123
],
"output_dtype": "int8"
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}{
"error": {
"code": "invalid_request",
"message": "text is required",
"request_id": "7d0f4c1e-2b8a-4e39-9a61-3c5e8b2f9d04"
}
}Авторизації
A key from conare.ai/dashboard/keys with full access, some namespaces, or models only (/embed, /rerank, /v1, /v2/rerank, /parse).
Тіло
application/json
The texts to embed, up to 32 KiB each.
Required array length:
1 - 128 elementsquery for a search query, document for stored text.
Доступні опції:
document, query int8: int8 values in [-127, 127] and one scale per vector.
Доступні опції:
float, int8 Відповідь
The vectors, in input order.
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