from_texts(
cls,
texts: List[str],
embedding: Embeddings,
metadatas: Optional[List[dict]] = None,
endpoint: Optional[str] = None,
instance_name: Optional[str] = None,
access_key_id: Optional[str] = None,
access_key_secret: Optional[str] = None,
table_name: Optional[str] = 'langchain_vector_store_ots_v1',
index_name: Optional[str] = 'langchain_vector_store_ots_index_v1',
text_field: Optional[str] = 'content',
vector_field: Optional[str] = 'embedding',
vector_dimension: int = 512,
vector_metric_type: Optional[str] = 'cosine',
metadata_mappings: Optional[List[Any]] = None,
**kwargs: Any = {}
) -> TablestoreVectorStore