pip install-U langchain-community

import requests
from langchain_community.embeddingsimport JinaEmbeddings
from numpyimport dot
from numpy.linalgimport norm
from PILimport Image

text_embeddings= JinaEmbeddings(
    jina_api_key="jina_*", model_name="jina-embeddings-v2-base-en"
)

text="This is a test document."

query_result= text_embeddings.embed_query(text)

print(query_result)

doc_result= text_embeddings.embed_documents([text])

print(doc_result)

multimodal_embeddings= JinaEmbeddings(jina_api_key="jina_*", model_name="jina-clip-v1")

image="https://avatars.githubusercontent.com/u/126733545?v=4"

description="Logo of a parrot and a chain on green background"

im= Image.open(requests.get(image, stream=True).raw)
print("Image:")
display(im)

image_result= multimodal_embeddings.embed_images([image])

print(image_result)

description_result= multimodal_embeddings.embed_documents([description])

print(description_result)

cosine_similarity= dot(image_result[0], description_result[0])/(
    norm(image_result[0])* norm(description_result[0])
)

print(cosine_similarity)