Adds the building blocks for tiered chunking strategies — multilingual
patterns, token approximation, document profiling, validation, and a
strategy resolver that today still falls through to the legacy
SplitText. Default Strategy is empty/legacy so existing knowledge bases
continue to chunk identically.
- tokens.go: char/token approximation per language (en/de/zh/mixed)
and a coarse DetectLanguage heuristic
- patterns.go: source-of-truth regex bibliothek for headings, numbered
sections, multilingual chapter markers, visual separators, etc.
- profiler.go: single-pass document scan + SelectStrategy chain
- validator.go: rejects obviously broken chunk-sets to drive fallbacks
- strategy.go: public Split / SplitParentChild entry points; resolves
StrategyAuto via the profiler, anything else maps to a fixed tier
- splitter.go: SplitterConfig gains Strategy / TokenLimit / Languages
fields and DefaultChunkSize / DefaultChunkOverlap constants (overlap
raised to 80 ≈ 15%)
- knowledge.go: switches both call sites to chunker.Split /
SplitParentChild — behavior unchanged for empty Strategy
https://claude.ai/code/session_01XADhx6mtu2ZYW3DE9Lun6k
Claude
ae6fde2310