8715d9c186ecf96524e08528e2efb410b77f9b7a
Why: - Core evaluation targets — each strategy chunks differently for comparison Changes: - fixed_size: token-based splitting with overlap (baseline) - recursive: cascade splitting (headers → newlines → sentences → words) - semantic: sentence-level embeddings with similarity-based boundaries - contextual_retrieval: LLM-generated context prefixes per chunk (Anthropic research) - semantic_parent_child: paragraph clustering into parent-child hierarchy
chunking_strategies_evaluation
This repo is in order to reach multiple chunking strategies and evaulate them
Languages
Python
62.4%
HTML
37.6%