46c4463cb2
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin. --------- Co-authored-by: vasilije <vas.markovic@gmail.com> Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
59 lines
2.3 KiB
Python
59 lines
2.3 KiB
Python
from cognee.shared.logging_utils import get_logger
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from uuid import NAMESPACE_OID, uuid5
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from cognee.modules.chunking.Chunker import Chunker
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from .models.DocumentChunk import DocumentChunk
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from langchain_text_splitters import RecursiveCharacterTextSplitter
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from cognee.infrastructure.databases.vector import get_vector_engine
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logger = get_logger()
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class LangchainChunker(Chunker):
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"""
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A Chunker that splits text into chunks using Langchain's RecursiveCharacterTextSplitter.
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The chunker will split the text into chunks of approximately the given size, but will not split
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a chunk if the split would result in a chunk with fewer than the given overlap tokens.
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"""
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def __init__(
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self,
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document,
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get_text: callable,
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max_chunk_tokens: int,
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chunk_size: int = 1024,
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chunk_overlap=10,
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):
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super().__init__(document, get_text, max_chunk_tokens, chunk_size)
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self.splitter = RecursiveCharacterTextSplitter(
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chunk_size=chunk_size,
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chunk_overlap=chunk_overlap,
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length_function=lambda text: len(text.split()),
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)
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async def read(self):
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async for content_text in self.get_text():
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for chunk in self.splitter.split_text(content_text):
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embedding_engine = get_vector_engine().embedding_engine
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token_count = embedding_engine.tokenizer.count_tokens(chunk)
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if token_count <= self.max_chunk_tokens:
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yield DocumentChunk(
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id=uuid5(NAMESPACE_OID, chunk),
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text=chunk,
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word_count=len(chunk.split()),
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token_count=token_count,
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is_part_of=self.document,
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chunk_index=self.chunk_index,
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cut_type="missing",
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contains=[],
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metadata={
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"index_fields": ["text"],
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},
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)
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self.chunk_index += 1
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else:
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raise ValueError(
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f"Chunk of {token_count} tokens is larger than the maximum of {self.max_chunk_tokens} tokens. Please reduce chunk_size in RecursiveCharacterTextSplitter."
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)
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