Clova offers an embeddings service This example goes over how to use LangChain to interact with Clova inference for text embedding. 
import os

os.environ["CLOVA_EMB_API_KEY"] = ""
os.environ["CLOVA_EMB_APIGW_API_KEY"] = ""
os.environ["CLOVA_EMB_APP_ID"] = ""

from langchain_community.embeddings import ClovaEmbeddings

embeddings = ClovaEmbeddings()

query_text = "This is a test query."
query_result = embeddings.embed_query(query_text)

document_text = ["This is a test doc1.", "This is a test doc2."]
document_result = embeddings.embed_documents(document_text)