| Name | Type | Description |
|---|---|---|
dimensions | Optional[int] | Default: -1Number of dimensions in embedding. Should be |
filters | Optional[List[Dict[str, str]]] | Default: None |
update | Optional[bool] | Default: False |
wait_until_complete | Optional[float] | Default: None |
kwargs | Any | Default: {} |
Creates a MongoDB Atlas vectorSearch index for the VectorStore
Note**: This method may fail as it requires a MongoDB Atlas with these
pre-requisites <https://www.mongodb.com/docs/atlas/atlas-vector-search/create-index/#prerequisites>.
Currently, vector and full-text search index operations need to be
performed manually on the Atlas UI for shared M0 clusters.
additional filters
Updates existing vectorSearch index. Defaults to False.
If given, a TimeoutError is raised if search index is not ready after this number of seconds. If not given, the default, operation will not wait.
(Optional): Keyword arguments supplying any additional options to SearchIndexModel.
