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LAB 002 / INTERACTIVE

RAG Chunking Bench

Comparing chunk size and overlap against retrieval precision and context cost.

STATUSRESEARCHDATE2026-08-10MODERUNNABLE
01INTERACTIVE DEMOADJUST THE LOAD
LIVE DEMO
SOURCEEVENTS
PROCESS42 MS
OUTPUTHEALTHY

02 / LAB NOTES

01 / SECTION

Question

How much context is enough before larger chunks begin to reduce retrieval precision?

02 / SECTION

Method

Run the same question set across several chunk sizes and overlaps, then compare hit rate, context cost, and answer grounding.

03 / SECTION

Result

The useful range depends more on document structure than a universal token count.

TOOLS & TECHNOLOGIES

01TypeScript02Embeddings03RAG