Package Methods (0.5.0)

Summary of entries of Methods for langchain-google-bigtable.

langchain_google_bigtable.chat_message_history.init_chat_history_table

init_chat_history_table( instance_id: str, table_id: str, client: typing.Optional[google.cloud.bigtable.client.Client] = None, ) -> None

Create a table to store chat history.

See more: langchain_google_bigtable.chat_message_history.init_chat_history_table

langchain_google_bigtable.loader.init_document_table

init_document_table( instance_id: str, table_id: str, client: typing.Optional[google.cloud.bigtable.client.Client] = None, content_column_family: str = "langchain", metadata_mappings: typing.List[ langchain_google_bigtable.loader.MetadataMapping ] = [], metadata_as_json_column_family: typing.Optional[str] = None, ) -> None

Create a table for saving of langchain documents.

See more: langchain_google_bigtable.loader.init_document_table

langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.add_message

add_message(message: langchain_core.messages.base.BaseMessage) -> None

Write a message to the table.

See more: langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.add_message

langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.add_messages

add_messages( messages: typing.Sequence[langchain_core.messages.base.BaseMessage], ) -> None

Write messages to the table.

See more: langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.add_messages

langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.clear

clear() -> None

Clear session memory from DB.

See more: langchain_google_bigtable.chat_message_history.BigtableChatMessageHistory.clear

langchain_google_bigtable.loader.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.

See more: langchain_google_bigtable.loader.BigtableLoader

langchain_google_bigtable.loader.BigtableLoader.lazy_load

lazy_load() -> typing.Iterator[langchain_core.documents.base.Document]

A lazy loader for Documents.

See more: langchain_google_bigtable.loader.BigtableLoader.lazy_load

langchain_google_bigtable.loader.BigtableLoader.load

load() -> typing.List[langchain_core.documents.base.Document]

Load data into Document objects.

See more: langchain_google_bigtable.loader.BigtableLoader.load

langchain_google_bigtable.loader.BigtableSaver

BigtableSaver( instance_id: str, table_id: str, 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 saver.

See more: langchain_google_bigtable.loader.BigtableSaver

langchain_google_bigtable.loader.BigtableSaver.add_documents

add_documents(docs: typing.List[langchain_core.documents.base.Document]) -> None

Save documents in the DocumentSaver table.

See more: langchain_google_bigtable.loader.BigtableSaver.add_documents

langchain_google_bigtable.loader.BigtableSaver.delete

delete(docs: typing.List[langchain_core.documents.base.Document]) -> None

Delete all instances of a document from the DocumentSaver table by matching the entire Document object.

See more: langchain_google_bigtable.loader.BigtableSaver.delete