I cannot find in the documentation how to select another embeeding for VectorstoreIndexCreator

[chuymtz]

I understand that the class VectorstoreIndexCreator takes embedding as an argument but, how can I select a different one? Perhaps Coheres?

[chuymtz]

I believe I fixed the issue I can now use Cohere's embeddings.

from langchain.document_loaders import TextLoader
from langchain.llms import Cohere
from langchain.indexes import VectorstoreIndexCreator
from langchain.embeddings import CohereEmbeddings
import os

os.environ["COHERE_API_KEY"] = config["cohere"]["key"]

llm = Cohere(temperature=0.9)

loader = TextLoader('data/state_of_union.txt', 
                    encoding="utf-8")

embs = CohereEmbeddings(cohere_api_key=key)
index = VectorstoreIndexCreator(embedding=embs).from_loaders([loader])