mirror of
https://github.com/hwchase17/langchain
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16945c9922
Various miscellaneous fixes to most pages in the 'Retrievers' section of the documentation: - "VectorStore" and "vectorstore" changed to "vector store" for consistency - Various spelling, grammar, and formatting improvements for readability Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
19 lines
1.0 KiB
Plaintext
19 lines
1.0 KiB
Plaintext
The simplest loader reads in a file as text and places it all into one document.
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```python
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from langchain.document_loaders import TextLoader
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loader = TextLoader("./index.md")
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loader.load()
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```
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<CodeOutputBlock language="python">
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```
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[
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Document(page_content='---\nsidebar_position: 0\n---\n# Document loaders\n\nUse document loaders to load data from a source as `Document`\'s. A `Document` is a piece of text\nand associated metadata. For example, there are document loaders for loading a simple `.txt` file, for loading the text\ncontents of any web page, or even for loading a transcript of a YouTube video.\n\nEvery document loader exposes two methods:\n1. "Load": load documents from the configured source\n2. "Load and split": load documents from the configured source and split them using the passed in text splitter\n\nThey optionally implement:\n\n3. "Lazy load": load documents into memory lazily\n', metadata={'source': '../docs/docs_skeleton/docs/modules/data_connection/document_loaders/index.md'})
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]
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```
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</CodeOutputBlock>
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