PromptMaster
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Companion tool · RAG: The Complete Guide

See exactly how your text
becomes chunks.

Paste a document, pick a chunking strategy, and watch where every cut lands — with live token counts and an embedding + generation cost estimate. The decision that caps RAG quality, made visible.

0
Chunks
0
Total tokens
0
Avg / chunk
0
Overlap tokens

Chunk map

chunk overlap ideal small large
Per-chunk breakdown
Cost estimate
$0.00
One-time indexing (embed all chunks)
$0.00
Per query (embed + top-k into generation)

Rough estimate. Token counts use a subword heuristic that tracks real tokenizers within ~10–15% on prose; exact tokenizers vary by model. Costs use the selected preset's embedding / generation rates.

Strategy comparison
Structure-aware
0 chunks
Fixed-size
0 chunks

Both strategies at the current size. Structure-aware respects headings and paragraphs; fixed-size cuts every N characters. Compare clean cuts vs. mid-sentence splits.

Unlock the Full Edition

Demo limits some controls

The demo shows structure-aware and fixed-size chunking with live token counts. The Full Edition unlocks the levers that actually tune a production pipeline:

  • Overlap control (boundary-spanning facts)
  • Cost presets across model tiers
  • Top-k query-cost modelling
  • Side-by-side strategy comparison
  • Export chunk config as JSON
  • Vector-DB ready metadata preview