Generate embeddings for text at scale.
Create text vectors for semantic search.
Example
response = client.embeddings.create(
model=”text-embedding-3-small”,
input=[“Hello world”, “How are you?”]
)
embeddings = [e.embedding for e in response.data]
Models
✅ text-embedding-3-small
✅ text-embedding-3-large
Pricing
$0.02/1M tokens (small)
$0.13/1M tokens (large)
Conclusion
Embeddings enable semantic search!