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77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
from crewai_tools.rag.chunkers.base_chunker import BaseChunker
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class TextChunker(BaseChunker):
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def __init__(
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self,
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chunk_size: int = 1500,
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chunk_overlap: int = 150,
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separators: list[str] | None = None,
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keep_separator: bool = True,
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):
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if separators is None:
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separators = [
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"\n\n\n", # Multiple line breaks (sections)
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"\n\n", # Paragraph breaks
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"\n", # Line breaks
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". ", # Sentence endings
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"! ", # Exclamation endings
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"? ", # Question endings
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"; ", # Semicolon breaks
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", ", # Comma breaks
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" ", # Word breaks
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"", # Character level
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]
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super().__init__(chunk_size, chunk_overlap, separators, keep_separator)
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class DocxChunker(BaseChunker):
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def __init__(
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self,
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chunk_size: int = 2500,
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chunk_overlap: int = 250,
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separators: list[str] | None = None,
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keep_separator: bool = True,
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):
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if separators is None:
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separators = [
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"\n\n\n", # Multiple line breaks (major sections)
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"\n\n", # Paragraph breaks
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"\n", # Line breaks
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". ", # Sentence endings
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"! ", # Exclamation endings
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"? ", # Question endings
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"; ", # Semicolon breaks
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", ", # Comma breaks
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" ", # Word breaks
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"", # Character level
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]
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super().__init__(chunk_size, chunk_overlap, separators, keep_separator)
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class MdxChunker(BaseChunker):
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def __init__(
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self,
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chunk_size: int = 3000,
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chunk_overlap: int = 300,
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separators: list[str] | None = None,
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keep_separator: bool = True,
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):
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if separators is None:
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separators = [
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"\n## ", # H2 headers (major sections)
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"\n### ", # H3 headers (subsections)
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"\n#### ", # H4 headers (sub-subsections)
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"\n\n", # Paragraph breaks
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"\n```", # Code block boundaries
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"\n", # Line breaks
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". ", # Sentence endings
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"! ", # Exclamation endings
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"? ", # Question endings
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"; ", # Semicolon breaks
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", ", # Comma breaks
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" ", # Word breaks
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"", # Character level
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]
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super().__init__(chunk_size, chunk_overlap, separators, keep_separator)
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