src/services/sentence-embedding.py

from langchain_community.embeddings.sentence_transformer import (
    SentenceTransformerEmbeddings
)

model = SentenceTransformerEmbeddings(model_name="vinai/phobert-base-v2")

query = 'This framework generates embeddings for each input sentence'
sentence_embeddings = model.embed_query(query)
print(len(sentence_embeddings))