ScaNN(
self,
embedding: Embeddings,
index: Any,
docstore: Docstore,
index_to_docstore_idScaNN vector store.
To use, you should have the scann python package installed.
Example:
.. code-block:: python
from langchain_community.embeddings import HuggingFaceEmbeddings from langchain_community.vectorstores import ScaNN
model_name = "sentence-transformers/all-mpnet-base-v2" db = ScaNN.from_texts( ['foo', 'bar', 'barz', 'qux'], HuggingFaceEmbeddings(model_name=model_name)) db.similarity_search('foo?', k=1)