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docs: fix small typo (#611)
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@ -55,7 +55,7 @@ There are two big issues to deal with in fetching:
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### Text Splitting
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### Text Splitting
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One big issue with all of these methods is how to make sure you are working with pieces of text that are not too large.
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One big issue with all of these methods is how to make sure you are working with pieces of text that are not too large.
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This is important because most language models have a context length, and so you cannot (yet) just pass a
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This is important because most language models have a context length, and so you cannot (yet) just pass a
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large document in as context. Therefor, it is important to not only fetch relevant data but also make sure it is
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large document in as context. Therefore, it is important to not only fetch relevant data but also make sure it is in
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small enough chunks.
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small enough chunks.
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LangChain provides some utilities to help with splitting up larger pieces of data. This comes in the form of the TextSplitter class.
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LangChain provides some utilities to help with splitting up larger pieces of data. This comes in the form of the TextSplitter class.
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