Have you been checking every day whether your RAG chatbot, which you expected to become your company's encyclopaedia simply by implementing it, is telling lies? Your organisation's regulations and manuals change frequently, but the process of updating AI knowledge is so complex that common incidents like this occur. The moment a chatbot adopts a document incorrectly, it can cause major confusion through incorrect guidance instead of improving work efficiency.
The first issue to check is the retrieval of incorrect information
The quality of answers from a RAG AI chatbot depends greatly on how accurately it finds documents relevant to the question.
Even if a user asks about the latest HR regulations, if an old document is selected during the retrieval process, the AI will answer based on that content. No matter how detailed the explanation in the generated answer is, it cannot be used in actual work if the evidence it relies on is incorrect.
Why are files that differ only by year more easily confused?
Corporate regulations and work guidelines often have similar titles and overall structures even after being revised. Most of the text in the 2024 and 2026 HR regulations may be the same, with only some items differing, such as the effective date, number of days of leave and application deadline.
Because RAG finds documents with meanings similar to the question, it may judge both regulations to be highly relevant. If the documents' effective dates, versions and application statuses are not separately distinguished, it may select the previous regulation as the basis for its answer.
Clevi Lens is designed to identify even subtle numerical changes and provide accurate information.
Now, without any waiting time, practitioners can easily manage AI knowledge themselves.
Previously, internal AI required developers to be asked to make updates, followed by a wait for the work to be completed.
Now, however, non-developers can easily manage AI knowledge themselves, without any waiting time.
With Clevi Lens, business users can add and edit documents or exclude them from search targets in the management interface. Non-developers can reflect work changes when needed and check the results of their application.
Reliable internal AI is continuously managed
RAG chatbots need their knowledge to be updated whenever regulations and manuals change. The application status of the latest documents must be managed and previous materials distinguished so that the chatbot can provide answers aligned with current working standards.
- Register the latest regulations and work manuals
- Manage effective dates and versions for each document
- Exclude expired materials from searches
- Update knowledge led by the person responsible for the work
- Check the knowledge status applied to the chatbot
You can find detailed features of Clevi Lens on the product page below.