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Documentation Index

Fetch the complete documentation index at: https://docs.langchain.com/llms.txt

Use this file to discover all available pages before exploring further.

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)