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The Roman Road of AI in the New Era
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ToolsRAG Chunk Planner

Learn · Research

RAG Chunk Planner

Estimate chunk count, vector storage, ingest time, and context-window pressure from corpus size and chunk settings.

Fill in your parameters below and click Calculate. All math runs locally in your browser — nothing is sent to a server or LLM.

Corpus

Chunking

Retrieval

After changing any field, click Recalculate to update results.

How we calculate

Corpus tokens are derived from pages × chars/page × tokens/char (or direct token/char input). Chunk count uses a sliding window: step = chunkSize × (1 − overlap%), then applies document-shape and strategy multipliers (heading-aware chunking reduces redundant splits; parent-child adds summary nodes).

Vector storage ≈ chunks × embeddingDim × 4 bytes (float32). Ingest time ≈ chunks ÷ embed QPS. Retrieval load = top-k × chunk size in tokens vs your generator context window.

Pricing assumptions as of 2026-08-30. Not a quote — verify vendor list prices.

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