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import os
from unstructured.documents.elements import Text
from unstructured.embed.openai import OpenAIEmbeddingEncoder
embedding_encoder = OpenAIEmbeddingEncoder(api_key=os.environ["OPENAI_API_KEY"])
elements = embedding_encoder.embed_documents(
elements=[Text("This is sentence 1"), Text("This is sentence 2")],
)
query = "This is the query"
query_embedding = embedding_encoder.embed_query(query=query)
[print(e.embeddings, e) for e in elements]
print(query_embedding, query)
print(embedding_encoder.is_unit_vector(), embedding_encoder.num_of_dimensions())