Create embeddings
Create vector embeddings from text for semantic search, RAG, clustering, and similarity tasks. OpenAI-compatible only — use /openai/v1/embeddings.
POST /openai/v1/embeddings
Python
response = client.embeddings.create( model="BAAI/bge-en-icl", input="IQx Token Factory provides unified AI inference",) vector = response.data[0].embedding # 4096-dim float arrayprint(len(vector)) # 4096