Chunking Strategy — Optimal Document Splitting for RAG Syste

I will assess your document types and query patterns and deliver a written chunking strategy consultation — covering the optimal chunking approach for your content (fixed-size, recursive, semantic, or document-structure-aware), recommended chunk size and overlap, and a benchmarking approach to validate the recommendation before full ingestion. Chunking strategy is the single most impactful RAG configuration decision that most developers make arbitrarily — defaulting to 512-token fixed-size chunks regardless of document structure, query type, or the LLM's context window — and a systematic consultation determines the right approach for your specific content before you commit to re-chunking an entire corpus.

The consultation covers your document type analysis, query pattern assessment, chunking approach comparison for your content, chunk size and overlap recommendation, and a benchmarking methodology for validation.