pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency...
from openai import OpenAI
client = OpenAI(
base_url="https://infergate.ru/api/v1",
api_key="ig-•••",
)
resp = client.embeddings.create(
model="perplexity/pplx-embed-v1-0.6b",
input="Текст для векторизации",
)
print(resp.data[0].embedding[:8])modelstringобязательныйinputstring | string[]обязательныйtemperaturenumbermax_tokensintegertop_pnumbertop_kintegerfrequency_penaltynumberpresence_penaltynumberweb_search_optionsobject