Ask AI questions about documents: scope, citations and missing evidence

A worked example: where the task becomes difficult

A fictional operations team wants answers from three approved equipment manuals. Two versions describe different maintenance intervals. A model may merge them into a confident but contradictory instruction. Give each file a title, version and applicable equipment model. Ask which manual supports the answer and retain the distinction between historical and current instructions.

Decisions to make before implementation

Decide whether answers may use outside knowledge or only the supplied corpus. For source-only work, unsupported questions should remain unanswered or trigger a request for more evidence. Check that tables, diagrams and scanned pages were extracted correctly. Record document access rights and remove irrelevant private material before using a new service. Retrieval quality and answer quality are different stages to inspect.

A practical sequence for the work

Use the sequence below as a task boundary, not as a claim that the example has been executed. Work with approved inputs and the project’s actual architecture. If a required integration or permission is unavailable, keep that stage visibly incomplete rather than generating a plausible substitute result.

• Prepare a permitted corpus with versions and applicable contexts.
• Check extraction on representative paragraphs, tables and diagrams.
• Ask answerable and unanswerable questions with passage-level references.
• Review source support and preserve conflicting instructions for resolution.

A detailed brief you can adapt for your agent

Replace the illustrative context with your approved facts and controlled inputs. Keep the stated boundaries when adapting the brief. The expected deliverable matters more than a particular tool name: ask for an explanation grounded in the inspected material and evidence for the requested outcome.

Answer only from these approved manuals. Identify document version and supporting passage for each factual claim. Preserve disagreements and equipment applicability. If the corpus does not answer the question, say what evidence is missing. Do not invent page references or treat a related passage as support for a different instruction.

Failure modes that an attractive preview can hide

A citation can look precise while referring to a passage that does not contain the asserted fact. Inspect the original text rather than trusting the citation format. Long documents can also exceed the actually loaded context. Require the system to distinguish indexed paths, retrieved passages and inspected content instead of implying the whole library was read in full.

Technical references: NIST: AI Risk Management Framework

Acceptance checks and the evidence to retain

Keep the corpus manifest, extraction checks and traceable answers. High-impact operating instructions should receive the appropriate domain review before use.

Specific answers

Common questions