Jina

Let's load the Jina Embedding class.

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from langchain.embeddings import JinaEmbeddings

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

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text = "This is a test document."

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query_result = embeddings.embed_query(text)

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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.

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