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CerebraTech AI
In developmentEV-2026-002Document AI

Private RAG boundary and retrieval setup note

An architecture exploration for document search that keeps the processing boundary explicit.

Owner
content-team
Reviewed
2026-09-12 · Next review 2027-03-12
Evidence level
Architecture
Citation scope
Cite as an in-development architecture note only; do not present it as a benchmark or security certification.

Hypothesis

A private retrieval path can keep document payloads within the agreed boundary while leaving updates, telemetry and support paths explicit.

Setup and hardware

Synthetic document corpus and a proposed on-premise processing boundary; no customer documents or credentials.

Edge appliance selected after site assessment · Runtime and model selected per workload

Method

Map payload, retrieval, logs, updates and support separately, then define the human review and citation checks needed for a pilot.

Result

The boundary can be described and reviewed, but no retrieval-recall or grounded-answer performance result is published.

Failed attempts

  • Treating all network traffic as document payload obscured the separate telemetry and update decisions.

Limitations

  • Architecture describes a deployment boundary, not a production performance guarantee.
  • Remote support and update paths remain subject to the agreed operating scope.

Next steps

  • Version a representative corpus and technician-authored question set.
  • Run a scoped Solution Architecture workshop before any pilot claim.

Citation scope

Cite as an in-development architecture note only; do not present it as a benchmark or security certification.

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