Clova Embeddings
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.embeddingsimport ClovaEmbeddings
API Reference: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)
Related
- Embedding modelconceptual guide
- Embedding modelhow-to guides