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RAG Chunk Size Calculator

Connect corpus chunking, overlap cost and vector storage to a retrieval-plus-output context budget.

rag-chunksLOCAL WORKSPACE

Enabling local controls…

Your inputs and assumptions

Local only. No prompt in URLs, no AI requests, no saved form data. Rate and capacity defaults are custom examples; replace them with your verified quotes.

Results

Review the inputs, then run to create a readable result and complete export. Editing cancels active work and clears stale results.

Formula, sources and limits

Independent document token counts are supplied assumptions. Retrieval upper bound = top-k × chunk size. Used = retrieval + system + question + output reserve. Deduplication, separators, chat wrappers and retrieval relevance require separate validation. Rates, limits, subscriptions and latency defaults are illustrative custom assumptions, not current vendor quotes or benchmarks. Check official sources and replace them. Each text field ≤32,768 UTF-16 units, total input ≤128 KiB, output ≤1 MiB; local job timeout 30s.

Methodology checked:

Hugging Face retrieval-augmented generation

How to use this tool

Load the safe sample, review every labeled assumption, then run. Edit any field to clear old results. Copy or download the complete result. Processing stays in this tab.

When not to use it

Independent document token counts are supplied assumptions. Retrieval upper bound = top-k × chunk size. Used = retrieval + system + question + output reserve. Deduplication, separators, chat wrappers and retrieval relevance require separate validation. Rates, limits, subscriptions and latency defaults are illustrative custom assumptions, not current vendor quotes or benchmarks. Check official sources and replace them. Each text field ≤32,768 UTF-16 units, total input ≤128 KiB, output ≤1 MiB; local job timeout 30s.