A RAG chatbot that was expected to become your company’s encyclopaedia simply by being implemented—are you checking every day to ensure it isn’t giving incorrect information? Your organisation’s policies and manuals change frequently, but the process of updating AI knowledge is so complex that such incidents are common. The moment a chatbot incorrectly adopts a document, instead of improving work efficiency, it can cause significant confusion by providing incorrect guidance.
The first issue to check is the retrieval of incorrect information
The quality of responses from a RAG AI chatbot depends significantly 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Even if a user asks about the latest HR policy, if an outdated document is selected during the search process, the AI will answer based on that content. No matter how detailed the explanation in the generated answer 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?
An organisation’s policies and work guidelines often have similar titles and overall structures even after being revised. Most sentences in the 2024 HR policy and the 2026 HR policy may be the same, with differences limited to certain items such as the effective date, number of leave days, and application deadline.
Because RAG searches for documents with meanings similar to the question, it may consider both policies highly relevant. If the document’s effective date, version, and applicability status 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, business users can easily manage AI knowledge themselves.
Previously, internal AI required users to request updates from developers and wait for the work to be completed.
Now, however, without any waiting time, non-developers can easily manage AI knowledge themselves.
With Clevi Lens, business teams can add and edit documents or exclude them from search targets through the management interface. Non-developers can reflect work-related changes when needed and check the results of their application.
A reliable internal AI is managed continuously
RAG chatbots must have their knowledge updated whenever regulations and manuals change. Managing the implementation 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 the effective date and version of each document
- Exclude expired materials from search results
- Update knowledge with a focus on work owners
- Check the knowledge status applied to the chatbot
You can check the detailed features of Clevi Lens on the product page below.