Text Embedding Ada 002

text-embedding-ada-002
byOpenAI|Created May 25, 2025
Embeddings

Text-Embedding-Ada-002 is a widely used text embedding model from OpenAI, converting text into semantic vectors for tasks like search, clustering, recommendations, and classification. It is known for strong performance and efficiency, making it a standard choice for embedding applications.

Pricing

Pay-as-you-go rates for this model. More details can be found here.

Tokens (1M)

$0.03

Capabilities

Input Modalities

Text

Output Modalities

Embeddings

Usage Analytics

Token usage of this model on our platform

Not enough activity data to display a chart

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")

resp = client.embeddings.create(
    model="text-embedding-ada-002",
    input=[
        "The food was delicious!",
        "Service could be faster."
    ],
    # dimensions=512,  # if supported
    # encoding_format="base64",
)
print(resp)