langchain_community.document_loaders.discord.DiscordChatLoader

class langchain_community.document_loaders.discord.DiscordChatLoader(chat_log: pd.DataFrame, user_id_col: str = 'ID')[source]

Load Discord chat logs.

Initialize with a Pandas DataFrame containing chat logs.

Parameters
  • chat_log (pd.DataFrame) – Pandas DataFrame containing chat logs.

  • user_id_col (str) – Name of the column containing the user ID. Defaults to “ID”.

Methods

__init__(chat_log[, user_id_col])

Initialize with a Pandas DataFrame containing chat logs.

alazy_load()

A lazy loader for Documents.

lazy_load()

A lazy loader for Documents.

load()

Load all chat messages.

load_and_split([text_splitter])

Load Documents and split into chunks.

__init__(chat_log: pd.DataFrame, user_id_col: str = 'ID')[source]

Initialize with a Pandas DataFrame containing chat logs.

Parameters
  • chat_log (pd.DataFrame) – Pandas DataFrame containing chat logs.

  • user_id_col (str) – Name of the column containing the user ID. Defaults to “ID”.

async alazy_load() AsyncIterator[Document]

A lazy loader for Documents.

Return type

AsyncIterator[Document]

lazy_load() Iterator[Document]

A lazy loader for Documents.

Return type

Iterator[Document]

load() List[Document][source]

Load all chat messages.

Return type

List[Document]

load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]

Load Documents and split into chunks. Chunks are returned as Documents.

Do not override this method. It should be considered to be deprecated!

Parameters

text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Return type

List[Document]

Examples using DiscordChatLoader