After uploading documents to the enterprise knowledge base, will the AI give irrelevant answers or hallucinate?
Category: rag | Language: en
Question
We have extensive product manuals and after-sales policy documents and want the AI to answer customers strictly based on them, but we're worried the model will make things up and hurt our brand's credibility. How does OmniPulse AI's RAG knowledge base actually ensure accuracy?
Official Solution & Step-by-Step Guide:
【Official Architecture & Standard Operating Procedure】 Upload PDF, Word, TXT, or reference links — the system automatically performs intelligent document chunking by semantic meaning rather than fixed character counts, so a sentence is never cut mid-context. On each customer query, the system runs semantic-distance retrieval with reranking to surface the most relevant chunks first, instead of simple keyword matching, cutting down on off-topic answers. The model is explicitly instructed to answer only from the retrieved knowledge chunks; for questions not covered by the knowledge base, the AI honestly says it has no relevant information or hands off to a human agent instead of fabricating an answer. Knowledge bases can be isolated per account/group, so different product lines or persona configurations never see each other's knowledge scope. The backend shows exactly which knowledge chunks were cited for every AI reply, so you can verify accuracy and keep expanding the knowledge base over time.