Jina

Let's load the Jina Embedding class.

from langchain.embeddings import JinaEmbeddings

API Reference:

• JinaEmbeddings from langchain.embeddings

embeddings = JinaEmbeddings(
    jina_auth_token=jina_auth_token, model_name="ViT-B-32::openai"
)

text = "This is a test document."

query_result = embeddings.embed_query(text)

doc_result = embeddings.embed_documents([text])

In the above example, ViT-B-32::openai, OpenAI's pretrained ViT-B-32 model is used. For a full list of models, see here.