Implement adaptive chunking that adjusts based on document characteristics. ## Document Types {{document_types}} ## Content Patterns {{content_patterns}} ## Quality Metrics {{quality_metrics}} Build adaptive chunking: ```python class AdaptiveChunker: def analyze_document(self, document: str) -> DocumentProfile: """ Profile includes: - Document type - Structure complexity - Section patterns - Average sentence length """ pass def select_strategy(self, profile: DocumentProfile) -> ChunkingStrategy: """ Strategies: - Fixed size for uniform content - Semantic for narrative text - Structural for formatted docs - Hybrid for mixed content """ pass def chunk_with_strategy(self, document: str, strategy: ChunkingStrategy) -> List[Chunk]: """Apply selected strategy""" pass ``` Include: - Document type detection - Strategy selection rules - Quality validation - Performance optimization
Adaptive Chunking Strategy
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Build adaptive chunking that analyzes documents and selects optimal chunking strategies based on content characteristics.
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Category
CodingUse Cases
Adaptive chunkingDocument processingRAG optimization
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claude-sonnet-4-20250514gpt-4o
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