Find the Tokens Left for Retrieved Evidence

How to Use This Tool

Reserve instructions, user input and output before choosing how much evidence to retrieve. Calculate RAG retrieval token budget from total context, instructions, user history and output reserve. Uses editable inputs and runs locally.

The failure RAG Retrieval Budget is designed to catch

Choosing top-k before setting a token budget can silently crowd out the answer or force late-stage truncation of the strongest evidence. The boundary is the job stated in Find the Tokens Left for Retrieved Evidence; RAG Retrieval Budget is not intended to score or transform a different workflow.

The RAG Retrieval Budget input contract

The fields used for this specific operation are Editable context tokens, Instructions and tools, User query and history, Output reserve. Keep the source values beside the RAG Retrieval Budget result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For RAG Retrieval Budget, Editable context tokens starts at 32000 in the worked case; replace that example with the matching source value.
• For RAG Retrieval Budget, Instructions and tools starts at 4000 in the worked case; replace that example with the matching source value.
• For RAG Retrieval Budget, User query and history starts at 5000 in the worked case; replace that example with the matching source value.
• For RAG Retrieval Budget, Output reserve starts at 6000 in the worked case; replace that example with the matching source value.

Worked result for RAG Retrieval Budget

The executable case called Default decision scenario expects out: 17,000.0. Verify that observation before entering real material, and then change one RAG Retrieval Budget field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the RAG Retrieval Budget output

It combines editable context tokens, instructions and tools, user query and history and output reserve into one decision result using the formula explained on the page. Apply that answer only when Editable context tokens, Instructions and tools, User query and history, Output reserve describe the same scope and format as the worked operation. If the source uses different units, quoting, nesting, timing or account rules, a plausible-looking RAG Retrieval Budget output is not sufficient validation.

Assumptions attached to RAG Retrieval Budget

• RAG Retrieval Budget assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• RAG Retrieval Budget assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
• RAG Retrieval Budget assumes that the page never calls an AI model; token ratios, prices, limits and observed rates are user-supplied planning assumptions.

If one of these RAG Retrieval Budget assumptions is false, keep the result as a diagnostic rather than production or decision data, and choose an implementation that explicitly supports the missing rule.

Evidence maintained for RAG Retrieval Budget

The recorded reference is NIST — AI Risk Management Framework. Reopen that source when the definition, format, fee or policy behind RAG Retrieval Budget changes; private configuration and downstream acceptance still have to be checked in the user's own system.

Where RAG Retrieval Budget runs

The named operation executes in browser JavaScript without an ecech calculation API. For RAG Retrieval Budget, local execution reduces transmission but does not control browser extensions, device security or the destination where the result is pasted, so sensitive inputs still require the user's normal handling rules.