Ernie Embedding v1 is Baidu Chinese-first embedding model, producing 384-dimensional vectors optimized for Simplified Chinese text. It is the cost-effective default for Chinese semantic search and recommendation use cases where short queries dominate.
Drop-in OpenAI replacement. Change only the base_url and model.
# Python -pip install openai from openai import OpenAI client = OpenAI( base_url="https://meshtok.com/v1", api_key="sk-your-MeshTok-key", ) resp = client.chat.completions.create( model="baidu/embedding-v1", messages=[{"role":"user","content":"Hello!"}], ) print(resp.choices[0].message.content)
# cURL curl https://meshtok.com/v1/chat/completions \ -H "Authorization: Bearer sk-your-MeshTok-key" \ -H "Content-Type: application/json" \ -d '{"model":"baidu/embedding-v1","messages":[{"role":"user","content":"Hello!"}]}'
Other models you might consider.
Fast and cost-efficient.
Fast and cost-efficient.
Fast and cost-efficient.
Fast and cost-efficient.