Did you introduce a RAG chatbot expecting it to become your company’s encyclopedia, only to find yourself monitoring it every day to make sure it doesn’t provide misinformation? Your organization’s policies and manuals change frequently, but updating the AI’s knowledge is so complicated that common mishaps like this occur. The moment a chatbot adopts a document incorrectly, it can cause major confusion through incorrect guidance rather than improving work efficiency.
The first issue to check is the retrieval of incorrect information
The quality of answers from a RAG AI chatbot largely depends on how accurately it finds documents relevant to the question.
Even if a user asks about the latest HR policy, if an outdated document is selected during the retrieval process, the AI will answer based on that content. No matter how detailed the generated answer’s explanation is, it cannot be used for actual work if the evidence it relies on is incorrect.
Why are files that differ only by year more easily confused?
Corporate policies and work guidelines often have similar titles and overall structures even after revisions. Most of the wording in the 2024 and 2026 HR policies may be the same, with only certain items differing, such as the effective date, number of vacation days, and application deadline.
Because RAG finds documents with meanings similar to the question, it may determine that both policies are highly relevant. If the effective date, version, and applicability status of each document are not separately distinguished, the previous policy may be selected as the basis for the answer.
Clevi Lens is designed to identify even subtle numerical changes and provide accurate information.
Now, without any waiting time, working-level staff can easily manage AI knowledge themselves.
With traditional internal AI, you had to request updates from developers and wait for the work to be completed.
Now, however, non-developers can easily manage AI knowledge themselves, without any waiting time.
With Clevi Lens, working-level staff can add and edit documents or exclude them from search through the management interface. Non-developers can reflect work-related changes when needed and check the results of their application.
Reliable internal AI is continuously managed
RAG chatbots must have their knowledge updated whenever regulations and manuals change. Managing the application status of the latest documents and distinguishing previous materials enables the chatbot to provide answers aligned with current work standards.
- Register the latest regulations and work manuals
- Manage effective dates and versions for each document
- Exclude expired materials from search results
- Update knowledge based on the responsibilities of each person
- Check the status of knowledge applied to the chatbot
You can view Clevi Lens’s detailed features on the product page below.