GraphRAG Chunking
This package contains a collection of text chunkers, a core config model, and a factory for acquiring instances.
Examples
Basic sentence chunking with nltk
The SentenceChunker class splits text into individual sentences by identifying sentence boundaries. It takes input text and returns a list where each element is a separate sentence, making it easy to process text at the sentence level.
Open the notebook to explore the basic sentence example code
Token chunking
The TokenChunker splits text into fixed-size chunks based on token count rather than sentence boundaries. It uses a tokenizer to encode text into tokens, then creates chunks of a specified size with configurable overlap between chunks.
Open the notebook to explore the token chunking example code
Using the factory via helper util
The create_chunker factory function provides a configuration-driven approach to instantiate chunkers by accepting a ChunkingConfig object that specifies the chunking strategy and parameters. This allows for more flexible and maintainable code by separating chunker configuration from direct instantiation.
Open the notebook to explore the factory helper util example code
Release files for graphrag-chunking 3.3.0
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| graphrag_chunking-3.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / graphrag_chunking-3.3.0.tar.gz
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