class TextSplitter extends AnyRef
Splits texts recursively to match given length
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new
TextSplitter(chunkSize: Int, chunkOverlap: Int, keepSeparators: Boolean, patternsAreRegex: Boolean, trimWhitespace: Boolean, lengthFunction: (String) ⇒ Int = _.length)
- chunkSize
Length of the text chunks, measured by
lengthFunction
- chunkOverlap
Overlap of the text chunks
- keepSeparators
Whether to keep separators in the final chunks
- patternsAreRegex
Whether to interpret split patterns as regex
- trimWhitespace
Whether to trim the whitespace from the final chunks
- lengthFunction
Function to measure chunk length
Value Members
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eq(arg0: AnyRef): Boolean
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- def escapeRegexIfNeeded(text: String): String
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- def joinDocs(currentDoc: Seq[String], separator: String): String
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def
mergeSplits(splits: Seq[String], separator: String): Seq[String]
Combines smaller text chunks into one that has about the size of chunk size.
Combines smaller text chunks into one that has about the size of chunk size.
- splits
Splits from the previous separator
- separator
The current separator
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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def
notifyAll(): Unit
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def
splitText(text: String, separators: Seq[String]): Seq[String]
Splits a text into chunks of roughly given chunk size.
Splits a text into chunks of roughly given chunk size. The separators are given in a list and will be used in order.
Inspired by LangChain's RecursiveCharacterTextSplitter.
- text
Text to split
- separators
List of separators in decreasing priority
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def
splitTextWithRegex(text: String, separator: String): Seq[String]
Splits the given text with the separator.
Splits the given text with the separator.
The separator is assumed to be regex (which was optionally escaped).
- text
Text to split
- separator
Regex as String
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synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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