Build an evaluation system for chunking strategy quality. ## Document Corpus {{corpus_description}} ## Chunking Strategies {{chunking_strategies}} ## Evaluation Criteria {{evaluation_criteria}} Implement evaluation: ```python class ChunkingEvaluator: def evaluate_coherence(self, chunks: List[str]) -> float: """Score semantic coherence within chunks""" pass def evaluate_completeness(self, chunks: List[str], queries: List[str]) -> float: """Score information completeness for queries""" pass def evaluate_boundary_quality(self, chunks: List[str]) -> float: """Score chunk boundary appropriateness""" pass def run_retrieval_eval(self, chunks: List[str], qa_pairs: List[QAPair]) -> RetrievalMetrics: """End-to-end retrieval evaluation""" pass ``` Metrics: - Intra-chunk coherence - Cross-chunk information preservation - Retrieval effectiveness - Token efficiency Include automated comparison framework.
Chunking Quality Evaluator
U
@
Build a comprehensive chunking quality evaluation system measuring coherence, completeness, boundary quality, and retrieval effectiveness.
12 copies0 forks
Details
Category
CodingUse Cases
Chunking evaluationStrategy comparisonQuality measurement
Works Best With
claude-sonnet-4-20250514gpt-4o
Created Shared