langchain/docs/modules/indexes/document_loaders/examples/telegram.ipynb

Telegram

This notebook covers how to load data from Telegram into a format that can be ingested into LangChain.

In [1]:

from langchain.document_loaders import TelegramChatLoader

In [2]:

loader = TelegramChatLoader("example_data/telegram.json")

In [3]:

loader.load()

Out [3]:

[Document(page_content="Henry on 2020-01-01T00:00:02: It's 2020...\n\nHenry on 2020-01-01T00:00:04: Fireworks!\n\nGrace 🧤 ðŸ\x8d’ on 2020-01-01T00:00:05: You're a minute late!\n\n", lookup_str='', metadata={'source': 'example_data/telegram.json'}, lookup_index=0)]

In [ ]: