Regional knowledge search without crossing access boundaries

Map collections to responsibilities

Identify which documents are regional, local, restricted, or historical. Assign an owner and a publication status to each collection. For a Tennessee organization with several locations, a local procedure may be valid for one team and wrong for another. Preserve that applicability in retrieval metadata rather than relying on the model to infer it from a place name.

Apply permissions before returning context

The retrieval layer should enforce the requesting user’s access before material reaches the model. A prompt telling the model not to reveal restricted information is not a substitute for excluding that information. Use an approved identity and authorization design. Our proposed OpenAI integration uses narrow retrieval tools that return the permitted passages and the metadata needed to understand their authority.

Reference: OpenAI: Using tools

Evaluate the source selection separately

Test whether the right passage is returned for the task, then evaluate whether the answer represents it accurately. Include an obsolete regional policy, a current local exception, and a question with no approved answer. The system should identify uncertainty or request clarification. A citation that points to a real file is insufficient if the passage does not support the conclusion.

Give employees a correction path

Allow staff to report a stale source, incorrect applicability, or unsupported answer with a reference to the case. Route source problems to the document owner and application defects to the technical owner. Agentix can scope regional knowledge search around this maintenance model. Expand collections only when access, source authority, and correction responsibilities remain understandable to the people operating the system.

Reference: Agentix (publisher): Agentix services

Common questions