You may have expected your RAG chatbot to become an internal knowledge base as soon as it was introduced. Instead, are you constantly checking whether its answers are accurate? This is a common problem because company policies and manuals change frequently, while updating AI knowledge can be complicated. If a chatbot selects the wrong document, it can provide incorrect guidance and cause serious confusion instead of improving efficiency.
The first issue to check is the retrieval of incorrect information
The quality of a RAG AI chatbot's answers largely depends on how accurately it retrieves documents relevant to the question.
Even when a user asks about the latest HR policy, the AI will base its answer on an outdated document if that document is selected during retrieval. No matter how detailed the generated answer may be, it cannot be used in actual work if it is based on the wrong source.
Why are files that differ only by year more easily confused?
Company policies and work guidelines often retain similar titles and overall structures after revisions. The 2024 and 2026 HR policies may contain mostly identical text, with differences limited to details such as the effective date, number of vacation days, or application deadline.
Because RAG retrieves documents that are semantically similar to a question, it may consider both policies highly relevant. Without clear distinctions based on effective date, version, and current status, it may select the previous policy as the basis for its answer.
Clevi Lens is designed to detect even small numerical changes and provide accurate information.
Now, employees can easily manage AI knowledge themselves without waiting.
Previously, updates to internal AI required a request to developers followed by a wait for the work to be completed.
Now, non-developers can easily manage AI knowledge themselves without waiting.
In Clevi Lens, business users can add or edit documents and exclude them from search through the management interface. Non-developers can apply changes when needed and verify the results.
Reliable internal AI requires continuous management
Whenever policies and manuals change, a RAG chatbot's knowledge must also be updated. By managing the status of current documents and separating outdated materials, the chatbot can provide answers that reflect current business standards.
- Register the latest policies and work manuals
- Manage effective dates and versions for each document
- Exclude expired materials from search
- Enable business users to update knowledge
- Check the knowledge currently applied to the chatbot
Learn more about Clevi Lens and its features on the product page below.