THE USEFUL PART / AT A GLANCE
- Keep the source library organized and permission-aware.
- Treat retrieval and answer generation as separate review points.
- Make uncertainty and escalation part of the experience.
Begin with a source library you can maintain
A knowledge assistant needs more than a collection of files. Identify which documents are approved, who owns them and how updates will be reflected in the system. Old and contradictory material can make a polished interface difficult to trust.
Preserve useful context such as document titles, sections and dates. Users should be able to understand which material informed an answer and open the relevant source when they need more detail.
Understand retrieval and generation
Retrieval-augmented generation connects a retrieval component with language generation. The original RAG research explored this combination for knowledge-intensive language tasks. In a business product, the important design question is which sources the system may retrieve and how the user can check the result.
Finding the right material and composing a useful answer are different jobs. Review both. A fluent response may still be based on an irrelevant passage, while a strong retrieved passage may be presented without the context a person needs.
Define what the assistant should not do
Set boundaries around actions, information access and unsupported questions. An internal handbook assistant should not reveal restricted documents simply because a user phrases a request persuasively.
A good fallback can explain that supporting information was not found and point to an appropriate person or process. That is part of the product experience, not an error message to hide.
Review realistic questions
Collect examples from the people who will use the tool. Include short questions, vague requests, conflicting sources and material that was updated recently. Ask whether the answer is supported, understandable and easy to verify.
A useful assistant should save effort across the whole task. If the user spends longer checking a response than finding the source directly, revisit the source structure, retrieval behavior or interaction design before expanding the tool.
