Boundary No. 1: Permission must precede answer
Corporate knowledge is not accessible to everyone. Departments, projects, customers and positions often correspond to different data boundaries.
The knowledge base should filter content based on user identity during the retrieval stage, instead of blocking text after generating answers.
- Reuse existing organization and role systems
- Knowledge space and document permissions take effect at the same time
- Consistent permissions for retrieval, citation and downloading
Second boundary: Answers must be traceable
The language generated by the model may be fluent, but business users are more concerned about where the answers come from and whether they are still valid.
The answer should display the original document, quoted fragments, update time and other information so that users can quickly verify it.
The third boundary: knowledge needs to be continuously updated
Policies, product information and program materials are subject to continuous change. Without an update mechanism, knowledge bases can quickly accumulate outdated content.
Knowledge owners, synchronization frequency, version status and expiration rules need to be clarified, and missing or conflicting content needs to be discovered through user feedback.
Start with a clear knowledge domain
A safer way is to select knowledge areas with clear boundaries, relatively complete data, and high frequency of questions for pilot testing.
After verifying authority, answer quality, and operational processes, gradually expand to more departments and data sources.