Text Embedding Ada 002

About Text Embedding Ada 002

Text Embedding Ada 002 is OpenAI's previous-generation embedding model, still widely used for semantic search and retrieval applications. It produces 1536-dimensional embeddings with good semantic understanding, enabling effective similarity matching and information retrieval. While superseded by the Embedding 3 series, Ada 002 remains popular due to its proven reliability and extensive documentation. The model integrates well with existing systems built around its output format. For organizations with existing Ada 002 deployments or seeking proven embedding capability, the model continues to provide reliable semantic search foundation. It's particularly valuable for maintaining compatibility with established systems.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Text Embedding Ada 002 API

from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
    model="openai/text-embedding-ada-002",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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