Processing boundary
Input is processed only in the active browser tab's memory and is not sent to a ByteQuant server.
85
AI tools
RAG Chunking & Context Budget Planner
Estimates chunk count from document size, target chunk, and overlap, then calculates retrieved context and remaining output budget for a context window. Retrieval quality, tokenizer, embedding model, and document structure require empirical validation.
✓ Free✓ No account✓ In-browser
Persistent storage
Input and output are not stored. The optional usage counter keeps only tool identity and count, never content.
Verification
Output comes from disclosed rules or browser APIs and needs independent review before high-impact use.
A result in three steps
- 01
Enter document, context, chunk, overlap, and retrieved-chunk values.
- 02
Run planning and inspect duplication load and output reserve.
- 03
Evaluate with the real tokenizer, retrieval metrics, and representative questions.
When is this tool useful?
- ✓ Capacity planning for RAG prototypes
- ✓ Comparing chunk/overlap scenarios
- ✓ Pre-checking context overflow
Important limitation
Automated output is a preliminary assessment. Do not use it alone for legal, financial, medical, or security-critical decisions.
LEARN THE WORKFLOW
Guides for this tool
Local Security Guide to Web Crypto, RAG, and Prompt Injection
Apply passphrases, HMAC, SRI, CIDR, RAG budgets, and injection pre-scans with correct security boundaries.
Read guide →ABOUT THIS TOOL
Frequently asked questions
Does this tool send input to a server?+
No. Processing runs in this browser tab. Data leaves the page only when you choose to copy or download the result.
Is the result definitive?+
The tool produces consistent output from disclosed rules and browser APIs, but context, data quality, and method limitations can affect it. Verify high-impact decisions.
Is input saved?+
No. Tool input is not persisted. With consent, only tool identity and usage count may be kept on this device for personal shortcuts.