Embeddings

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.neosantara.xyz/v1",
    api_key=os.environ["NEOSANTARA_API_KEY"]
)

response = client.embeddings.create(
    model="gemini-embedding-001",
    input=[
        "Neosantara is Indonesia's AI Gateway for developers.",
        "Low latency architectures optimize inference speed."
    ]
)

for item in response.data:
    print(f"Index: {item.index}, Vector Length: {len(item.embedding)}")

curl -X POST https://api.neosantara.xyz/v1/embeddings \
  -H "Authorization: Bearer $NEOSANTARA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-embedding-001",
    "input": "Semantic search for financial records."
  }'