cognee-chunking 0.1.3

Text chunking and token counting for the cognee ingestion pipeline.
Documentation
Let me think through the key attributes that would be important to test in a text chunking system.
Here are the essential attributes to test:

Chunking Boundaries Accuracy:


Proper sentence boundary detection
Handling of punctuation marks
Recognition of paragraph breaks
Treatment of special characters and whitespace
Proper handling of quotes and nested text structures


Language Support:


Handling of different languages and scripts
Support for multilingual documents
Proper Unicode handling
Treatment of language-specific punctuation


Special Cases Handling:


Lists and bullet points
Tables and structured content
Code blocks or technical content
Citations and references
Headers and footers
URLs and email addresses


Performance Metrics:


Processing speed for different text lengths
Memory usage with large documents
Scalability with increasing document size
Consistency across multiple runs


Document Format Support:


Plain text handling
HTML/XML content
PDF text extraction
Markdown formatting
Mixed format documents


Error Handling:


Malformed input text
Incomplete sentences
Truncated documents
Invalid characters
Missing punctuation


Configuration Flexibility:


Adjustable chunk sizes
Customizable boundary rules
Configurable overlap between chunks
Token vs. character-based chunking options


Preservation of Context:


Maintaining semantic coherence
Preserving contextual relationships
Handling cross-references
Maintaining document structure

Would you like me to elaborate on any of these attributes or discuss specific testing strategies for them?