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standard_chunk_text_splitting_with_size_and_overlap.py

python

This quickstart demonstrates how to initialize a Chunker and split a long

15d ago16 linesstandard-chunk/standard-chunk-python
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standard_chunk_text_splitting_with_size_and_overlap.py
1from standard_chunk import Chunker
2
3# Sample text to be chunked
4text = "Standard-chunk is a lightweight library designed to provide a consistent way to split text for LLM applications. It ensures that semantic meaning is preserved while adhering to token or character limits."
5
6# Initialize the chunker with a specific chunk size and overlap
7# chunk_size: maximum number of characters/tokens per chunk
8# chunk_overlap: number of characters/tokens to overlap between chunks
9chunker = Chunker(chunk_size=50, chunk_overlap=10)
10
11# Generate chunks from the text
12chunks = chunker.split(text)
13
14# Print the resulting chunks
15for i, chunk in enumerate(chunks):
16    print(f"Chunk {i+1}: {chunk}")