Sentence Transformers
SentenceTransformers embeddings are called using the
HuggingFaceEmbeddings
integration. We have also added an alias forSentenceTransformerEmbeddings
for users who are more familiar with directly using that package.
SentenceTransformers
is a python package that can generate text and image embeddings, originating from Sentence-BERT
pip install sentence_transformers > /dev/null
[notice] A new release of pip is available: 23.0.1 -> 23.1.1
[notice] To update, run: pip install --upgrade pip
from langchain.embeddings import HuggingFaceEmbeddings, SentenceTransformerEmbeddings
API Reference:
embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
# Equivalent to SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
text = "This is a test document."
query_result = embeddings.embed_query(text)
doc_result = embeddings.embed_documents([text, "This is not a test document."])