chunking▌

Optimal chunking strategies for RAG systems and document processing pipelines. \n \n Five strategy levels from fixed-size to advanced methods (late chunking, contextual retrieval), each suited to different document types and complexity \n Includes recursive character chunking with hierarchical separators, structure-aware chunking for Markdown/code/PDFs, and embedding-based semantic chunking with configurable thresholds \n Provides evaluation framework covering retrieval precision, recall, end-to

This skill covers how GrepAI splits code files into chunks for embedding, and how to optimize chunking for your codebase.