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41 lines
1.4 KiB
ReStructuredText
41 lines
1.4 KiB
ReStructuredText
Text Splitters
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/components/indexing/text-splitter>`_
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When you want to deal with long pieces of text, it is necessary to split up that text into chunks.
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As simple as this sounds, there is a lot of potential complexity here. Ideally, you want to keep the semantically related pieces of text together. What "semantically related" means could depend on the type of text.
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This notebook showcases several ways to do that.
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At a high level, text splitters work as following:
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1. Split the text up into small, semantically meaningful chunks (often sentences).
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2. Start combining these small chunks into a larger chunk until you reach a certain size (as measured by some function).
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3. Once you reach that size, make that chunk its own piece of text and then start creating a new chunk of text with some overlap (to keep context between chunks).
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That means there two different axes along which you can customize your text splitter:
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1. How the text is split
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2. How the chunk size is measured
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For an introduction to the default text splitter and generic functionality see:
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.. toctree::
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:maxdepth: 1
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:glob:
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./text_splitters/getting_started.ipynb
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We also have documentation for all the types of text splitters that are supported.
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Please see below for that list.
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.. toctree::
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:maxdepth: 1
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:glob:
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./text_splitters/examples/* |