Embedding API

Usage (Example in Python)

import http.client
import json

conn = http.client.HTTPSConnection("api.apertis.ai")
payload = json.dumps({
   "model": "jina-embeddings-v3",
   "input": "The food was delicious and the waiter..."
})
headers = {
   'Authorization': 'Bearer <APERTIS_API_KEY>',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/embeddings", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

Parameters

• model: The model to use, currently supports jina-embeddings-v3, jina-embeddings-v4, jina-embeddings-v5-text-small, jina-embeddings-v5-text-nano, jina-clip-v1, jina-colbert-v2 from Jina AI, mistral-embed-2312 from Mistral AI and gemini-embedding-2-preview from Google. See Models for the current list.
• input: The text to convert
• APERTIS_API_KEY: Your API key

Jina AI Embedding Model Usage (Example in Python)

curl -X POST "https://api.apertis.ai/v1/embeddings" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <APERTIS_API_KEY>" \
  -d '{
    "model": "jina-embeddings-v3",
    "input": ["你好，世界", "Hello, World"],
    "task": "retrieval.passage"
  }'

Parameters

• model: The model to use, currently supports jina-embeddings-v3, jina-embeddings-v4, jina-embeddings-v5-text-small, jina-embeddings-v5-text-nano, jina-embeddings-v2-base-de, jina-embeddings-v2-base-es, jina-clip-v1, jina-colbert-v1-en, jina-colbert-v2 from Jina AI.
• input: The text to convert
• task: The task to use, currently supports retrieval.query, retrieval.passage, separation, classification, text-matching and none from Jina AI with model jina-embeddings-v3.
• APERTIS_API_KEY: Your API key