Create Embedding

from opperai import Opper

opper = Opper(http_bearer="YOUR_API_KEY")

# Create embedding for a single text
single_embedding = opper.embeddings.create(
    input="The quick brown fox jumps over the lazy dog",
    model="azure/text-embedding-3-large",
)

print(f"Model: {single_embedding.model}")
print(f"Embedding dimensions: {len(single_embedding.data[0]['embedding'])}")
print(f"Usage: {single_embedding.usage}")

# Create embeddings for multiple texts
multiple_embeddings = opper.embeddings.create(
    input=[
        "What is machine learning?",
        "How do neural networks work?",
        "Explain artificial intelligence",
    ]
)

print(f"\nCreated {len(multiple_embeddings.data)} embeddings")
for i, embedding_data in enumerate(multiple_embeddings.data):
    print(f"Embedding {i}: {len(embedding_data['embedding'])} dimensions")

{
  "model": "text-embedding-3-large",
  "data": {
    "embedding": [
      0.1,
      0.2,
      0.3
    ],
    "index": 0
  },
  "usage": {
    "prompt_tokens": 100,
    "total_tokens": 100
  }
}