BigtableLoader(
instance_id: str,
table_id: str,
row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,
filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,
client: typing.Optional[google.cloud.bigtable.client.Client] = None,
content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
content_column_family: str = "langchain",
content_column_name: str = "content",
metadata_mappings: typing.List[
langchain_google_bigtable.loader.MetadataMapping
] = [],
metadata_as_json_column_family: typing.Optional[str] = None,
metadata_as_json_column_name: typing.Optional[str] = None,
metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
)Load from the Google Cloud Platform Bigtable.
Methods
BigtableLoader
BigtableLoader(
instance_id: str,
table_id: str,
row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,
filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,
client: typing.Optional[google.cloud.bigtable.client.Client] = None,
content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
content_column_family: str = "langchain",
content_column_name: str = "content",
metadata_mappings: typing.List[
langchain_google_bigtable.loader.MetadataMapping
] = [],
metadata_as_json_column_family: typing.Optional[str] = None,
metadata_as_json_column_name: typing.Optional[str] = None,
metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
)Initialize Bigtable document loader.
lazy_load
lazy_load() -> typing.Iterator[langchain_core.documents.base.Document]A lazy loader for Documents.
load
load() -> typing.List[langchain_core.documents.base.Document]Load data into Document objects.