Embeddings

Updated: 2026-02-10

Overview

Convert text into vector representations for semantic search, clustering, RAG, and similar use cases. Compatible with the OpenAI Embeddings API.

POST/embeddings

Request Parameters

Parameter	Type	Required	Description
model	string	Required	Embedding model ID, e.g. embedding-3, qwen3-embedding-4b
input	string \| array	Required	Text or array of texts to embed, up to 1024 items per call
dimensions	integer	Optional	Output vector dimension; some models support reduction (e.g. 768/1024/2048)

Example

curl -X POST "https://www.starunion.net/v1/embeddings" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "embedding-3",
    "input": ["The basics of quantum entanglement", "Relativity and spacetime"]
  }'

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