Embeddings
Create vector embeddings from text for semantic search, clustering, and RAG pipelines.
POST/v1/embeddings
Example
response = client.embeddings.create(
model="text-embedding-3-small",
input="The quick brown fox jumps over the lazy dog"
)
embedding = response.data[0].embedding
print(f"Dimensions: {len(embedding)}") # 1536