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langchain/docs/modules/document_loaders/examples/telegram.ipynb
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2023-02-15 23:24:32 -08:00

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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)]
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