Pick a chunking strategy, size, and overlap for a given corpus and query distribution. Use when you need help with chunker.
Scanned 9/8/2026
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---
name: chunker
description: Pick a chunking strategy, size, and overlap for a given corpus and query distribution. Use when you need help with chunker.
license: CC-BY-NC-SA-4.0
phase: 5
lesson: 23
metadata:
version: 1.0.0
tags: [nlp, rag, chunking]
---
Given a corpus (document types, avg length, domain) and query distribution (factoid / analytical / multi-hop), output:
1. Strategy. Recursive / sentence / semantic / parent-document / late / contextual. Reason.
2. Chunk size. Token count. Reason tied to query type.
3. Overlap. Default 0; justify if >0.
4. Min/max enforcement. `min_tokens`, `max_tokens` guards.
5. Evaluation plan. Recall@5 on 50-query stratified eval set (factoid, analytical, multi-hop).
Refuse any chunking strategy without min/max chunk size enforcement. Refuse overlap above 20% without an ablation showing it helps. Flag semantic chunking recommendations without a min-token floor.
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