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 across the last 30 active days
Not enough activity data to display a chart
Uptime
Reliability over the last 7 days
Not enough performance data to display charts
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)