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)
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