A knowledge assistant can help people find and summarize information from company documents. Its usefulness depends on the quality of those documents, the retrieval process and how clearly it shows the basis for an answer.
Start with a narrow document set
Choose material with a clear owner and a predictable update process. Remove duplicates and mark outdated versions. Decide which questions the assistant should answer and which should lead people to a specialist or the original document.
Respect existing permissions
A useful answer must not reveal documents the asking user cannot access. Apply access rules when retrieving source content and test them with accounts that have different permissions. Avoid putting sensitive material into logs or feedback forms.
- Show the source and its update date.
- Provide a route to open the original document.
- Make missing evidence visible to the user.
Evaluate answers against real questions
Build a small set of representative questions and expected source documents. Check whether retrieval finds the right material, whether the answer matches it and whether the assistant admits when evidence is insufficient. Retrieval can improve grounding but does not guarantee correctness.
Maintain the content pipeline
Document owners need a way to update or remove information. Recheck answers after major content changes and watch for recurring unanswered questions. The assistant should make the knowledge base easier to use, not become a hidden copy that grows stale.
Practical next step
Treat source quality, permissions and evaluation as core features of the assistant. A polished chat interface alone cannot make answers trustworthy.
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