Method●Since v0.3

from_texts

Return the Vector Store initialized from texts and embeddings.

from_texts(
  cls: Type[VST],
  texts: List[str],
  embedding: Embeddings,
  metadatas: Optional[List[dict]] = None,
  **kwargs: Any = {}
) -> VST

Parameters

Name	Type	Description
`cls`*	`Type[VST]`	The Vector Store class to use to initialize the Vector Store.
`texts`*	`List[str]`	The texts to initialize the Vector Store with.
`embedding`*	`Embeddings`	The embedding function to use.
`metadatas`	`Optional[List[dict]]`	Default:`None` The metadata associated with the texts. Defaults to None.
`kwargs`	`Any`	Default:`{}` Vector Store specific parameters. The following are forwarded to the Vector Store constructor and required:
`- index_name`*	`str`	The name of the index to store the documents in. Defaults to "default".
`- text_field`*	`str`	The name of the metadata field to store the original text in. Defaults to "text".
`- distance_strategy`*	`DistanceStrategy`	The distance strategy to use. Defaults to DistanceStrategy.COSINE. If you select DistanceStrategy.EUCLIDEAN_DISTANCE, Momento uses the squared Euclidean distance.
`- ensure_index_exists`*	`bool`	Whether to ensure that the index exists before adding documents to it. Defaults to True.
`- client`*	`PreviewVectorIndexClient`	The Momento Vector Index client to use.
`- api_key`*	`Optional[str]`	The configuration to use to initialize the Vector Index with. Defaults to None. If None, the configuration is initialized from the environment variable `MOMENTO_API_KEY`.