Document Chunking Strategy
Specifying semantic coherence and overlap requirements produces a strategy that avoids the common pitfall of losing context at chunk boundaries.
Prompt
I need to process a {{document_type}} that is approximately {{document_length}} tokens long. The model context window is {{context_window}} tokens, and I need {{reserved_tokens}} tokens reserved for the prompt and output.\n\nDesign a chunking strategy that:\n1. Splits the document into processable chunks\n2. Preserves semantic coherence (don't split mid-paragraph or mid-argument)\n3. Includes overlap between chunks to maintain continuity\n4. Specifies how to merge results from multiple chunks\n\nProvide the chunk size, overlap size, expected number of chunks, and a merging strategy for the final output.
Variables to customize
{{document_type}}{{document_length}}{{context_window}}{{reserved_tokens}}
Why this prompt works
Specifying semantic coherence and overlap requirements produces a strategy that avoids the common pitfall of losing context at chunk boundaries.
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