DiscordChatLoader

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

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.
aload()	Load data into Document objects.
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')

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]

async aload() → list[Document]

Load data into Document objects.

Return type:

list[Document]

lazy_load() → Iterator[Document]

A lazy loader for Documents.

Return type:

Iterator[Document]

load() → List[Document]

Load all chat messages.

Return type:

List[Document]

load_and_split(text_splitter: TextSplitter | None = 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

• Discord